Filters








12,114 Hits in 7.9 sec

Automatic Extraction and Classification of Vegetation Areas from High Resolution Images in Urban Areas [chapter]

Corina Iovan, Didier Boldo, Matthieu Cord, Mats Erikson
<i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rkvtlqkouraqtehpteqrxpy4zq" style="color: black;">Image Analysis</a> </i> &nbsp;
This paper presents a complete high resolution aerial-images processing workflow to detect and characterize vegetation structures in high density urban areas.  ...  We present a hierarchical strategy to extract, analyze and delineate vegetation areas according to their height.  ...  Algorithms developed for the automatic extraction of tree crowns in urban environments firstly detect vegetation areas followed by a finer analysis of objects present therein.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-73040-8_87">doi:10.1007/978-3-540-73040-8_87</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/scia/IovanBCE07.html">dblp:conf/scia/IovanBCE07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ak4e6bvaf5g27fkft32k5nhxim">fatcat:ak4e6bvaf5g27fkft32k5nhxim</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503022522/https://link.springer.com/content/pdf/10.1007%2F978-3-540-73040-8_87.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/a2/19a2fafa5eccf36180cc8a1ceb06ed0f75f9d233.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-540-73040-8_87"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Urban Green Space Identification and Analysis Using Sentinel-2A Data: A Study on Gudur Municipality

R. Sanjeeva Reddy
<span title="2020-08-31">2020</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
The multispectral image consists of 13 spectral bands and a relatively high spatial resolution of (10 to 60m) and a temporal resolution of 10 days.  ...  Urban Green Areas (UGS) such as parks, forests, green roofs, riverine vegetation, and community gardens are essential for the provision of a broad range of ecological services such as urban heat mitigation  ...  Therefore, aerial or very high resolution (VHR) satellite images are needed to perform on-screen interpretation and classification of individual UGS polygons extracted from the S2A data.Finer than 10 m  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2020.31278">doi:10.22214/ijraset.2020.31278</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p663im5d6zajldmktdds7mys7u">fatcat:p663im5d6zajldmktdds7mys7u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200912193727/http://ijraset.com/fileserve.php?FID=31278" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/34/ef/34efd6590091f53ef6785e73b4a57c9ce0a5e74c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2020.31278"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Coarse and fast modelling of urban areas from high resolution stereo satellite images

Thomas Kraub, Peter Reinartz, Manfred Lehner, Uwe Stilla
<span title="">2007</span> <i title="IEEE"> 2007 Urban Remote Sensing Joint Event </i> &nbsp;
With the availability of very high resolution (VHR) satellite data investigations of large urban areas regarding their three dimensional shape can be performed fast and relatively cheap in comparison to  ...  The classification divides the images in four classes: low level and no vegetation, low level with vegetation, higher level and no vegetation and higher level with vegetation.  ...  In this work a first approach for the implementation of an automatic processing chain for the modeling of urban areas from very high resolution satellite image stereo pairs is suggested.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/urs.2007.371777">doi:10.1109/urs.2007.371777</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/griehgzxhvftpez4fb4hwabk5u">fatcat:griehgzxhvftpez4fb4hwabk5u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810095044/https://www.ipi.uni-hannover.de/fileadmin/institut/pdf/krauss_lehner_reinartz.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/66/53/665355df20632bbdd70360c9e930c37114d7d3a8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/urs.2007.371777"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

URBAN OBJECT EXTRACTION FROM DIGITAL SURFACE MODEL AND DIGITAL AERIAL IMAGES

D. Grigillo, U. Kanjir
<span title="2012-07-20">2012</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhzu63ehjfe2dbswnsdfm5vlba" style="color: black;">ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
Automatic extraction of other green urban features (trees and natural ground) started from orthoimages using iterative object-based classification.  ...  The paper describes two different methods for extraction of two types of urban objects from lidar digital surface model (DSM) and digital aerial images.  ...  from nDSM high objects mask only in Area 3.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsannals-i-3-215-2012">doi:10.5194/isprsannals-i-3-215-2012</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bcww5zftgzcm7jymkv3hqxjqau">fatcat:bcww5zftgzcm7jymkv3hqxjqau</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808135002/https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-3/215/2012/isprsannals-I-3-215-2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2e/56/2e56a7898ebd9d503f0b4837d0a86dfa8261a621.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsannals-i-3-215-2012"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Automatic building extraction based on multiresolution segmentation using remote sensing data

Neeti Shrivastava, Praveen Kumar Rai
<span title="">2015</span> <i title="Institute of Geography and Spatial Organization, Polish Academy of Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xtkjld6cqfeq3kcsmtc5w7jbje" style="color: black;">Geographia Polonica</a> </i> &nbsp;
A study was taken up to perform object oriented fuzzy classification using high resolution satellite data (Cartosat-1 fused with IRS-1C, LISS IV data) for automatic building extraction in the study area  ...  Analysis of high resolution remote sensing images, included in the object-oriented approach, involved classifying the image objects according to class descriptions organised in an appropriate knowledge  ...  Automatic extraction of urban buildings from high resolution satellite images has been an active research subject for a decade.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7163/gpol.0026">doi:10.7163/gpol.0026</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ozxwfgxn2fbwngqbbjcccjnduq">fatcat:ozxwfgxn2fbwngqbbjcccjnduq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720015930/http://rcin.org.pl/Content/56788/WA51_77356_r2015-t88-no3_G-Polonica-Shrivasta.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/13/bc/13bc2acb0e2df469efa0688f5867a962f7e894cb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.7163/gpol.0026"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

A Multi Stage Approach for Urban Building Extraction from Remote Sensing Satellite Images

VSSN Gopala Krishna Pendyala, Hemantha Kumar Kalluri, C.V. Rao
<span title="2018-11-27">2018</span> <i title="Science Publishing Corporation"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/piy2nrvrjrfcfoz5nmre6zwa4i" style="color: black;">International Journal of Engineering &amp; Technology</a> </i> &nbsp;
High resolution Remote sensing images are widely used as primary data for automatic extraction of building information.  ...  The most important parameter for urban information system is the building information which is represented by the geographic location of the buildings as well as the area, perimeter, density, inter building  ...  are used for automatic building extraction in urban areas.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i4.24.21864">doi:10.14419/ijet.v7i4.24.21864</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ffqmtmlkdva4jlf3rkrumsj2je">fatcat:ffqmtmlkdva4jlf3rkrumsj2je</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200214085948/https://www.sciencepubco.com/index.php/ijet/article/download/21864/10540" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/14/96/14964ace8bd476a5f5265cc8b232c69fba1ce5e2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14419/ijet.v7i4.24.21864"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Automated Extraction of Built-Up Areas by Fusing VIIRS Nighttime Lights and Landsat-8 Data

Chang Liu, Kang Yang, Mia M. Bennett, Ziyan Guo, Liang Cheng, Manchun Li
<span title="2019-07-02">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Four major metropolitan areas in Eurasia formed the study areas, and the high spatial resolution (20 m) built-up area product High Resolution Layer Imperviousness Degree (HRL IMD) 2015 served as the reference  ...  Furthermore, thematic accuracy is limited by interference from other land cover types like bare land, which hinder accurate and timely extraction and monitoring of dynamic changes in built-up areas.  ...  Acknowledgments: We are grateful to anonymous reviewers and members of the editorial team for advice. Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11131571">doi:10.3390/rs11131571</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zckcqbl6mzglniaxxrctptbr4m">fatcat:zckcqbl6mzglniaxxrctptbr4m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200209041714/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-11-01571/article_deploy/remotesensing-11-01571.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1a/c1/1ac19ffb5184a98b8d784cb79c1aa7bef1a7aba2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11131571"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Combining multispectral aerial imagery and digital surface models to extract urban buildings

Adrian J.D. Mcnally, Samuel J.P. Mckenzie
<span title="">2011</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cmjqpiuya5daxg4mut7rkytcda" style="color: black;">Journal of Maps</a> </i> &nbsp;
The ability to generate DSMs from high resolution aerial imagery will afford new insights into the three-dimensional aspects of urban areas which will in turn inform future urban planning.  ...  The visible to near infrared (VNIR) bands of the DMC enabled a supervised classification to be performed to extract buildings from vegetation.  ...  The speed of change in urban areas demands regular monitoring to identify areas of high population density and plan for sustainable urban development.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4113/jom.2011.1152">doi:10.4113/jom.2011.1152</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fcsqya26srfkng3l6zfdxlh35m">fatcat:fcsqya26srfkng3l6zfdxlh35m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810232321/http://uir.ulster.ac.uk/18268/1/McKenzie_Urban_1282223673.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d0/82/d0827319adca59dda5a06cc943a9c43f5a25e169.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4113/jom.2011.1152"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Automatic building detection and land use classification in urban areas using multispectral high-spatial resolution imagery and LiDAR data

Txomin Hermosilla
<span title="2014-06-07">2014</span> <i title="Universitat Autonoma de Barcelona"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tacfpjxccve3bmtvwxtrw3krn4" style="color: black;">ELCVIA Electronic Letters on Computer Vision and Image Analysis</a> </i> &nbsp;
The aim of this study is to establish a methodology to automatically detect buildings and to automatically classify land use in urban environments using multispectral high-spatial resolution imagery and  ...  The other approach follows the standard scheme of object-based image classification: segmentation, feature extraction and selection, and classification, here performed using decision trees.  ...  The aim of this study is to establish a methodology to automatically detect buildings and to automatically classify land use in urban environments using multispectral high-spatial resolution imagery and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5565/rev/elcvia.584">doi:10.5565/rev/elcvia.584</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3vrev5bznjhotcs6p24njm5ehi">fatcat:3vrev5bznjhotcs6p24njm5ehi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170706024611/https://ddd.uab.cat/pub/elcvia/elcvia_a2014v13n2/elcvia_a2014v13n2a3/elcvia_a2014v13n2p4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d4/0e/d40ecbd2a39d2fcd96d98968957f067cde1959b6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5565/rev/elcvia.584"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

An Automatic Method for Water Extraction From High Spatial Resolution GF-1 Imagery Based On A Deep Learning Algorithm

JING KANG, TIANYU CI, ANRONG DANG, YONGMING WANG
<span title="2019-12-09">2019</span> <i title="DEStech Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/52spf3of4jbu5da2xrhvubclcy" style="color: black;">DEStech Transactions on Computer Science and Engineering</a> </i> &nbsp;
The new framework has remarkable advantages for automatic water extraction from high-resolution images, especially in maintaining the integrity of small water bodies and in overcoming interference from  ...  from high spatial resolution images.  ...  from other types of high-resolution images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtcse/cisnrc2019/33358">doi:10.12783/dtcse/cisnrc2019/33358</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vybtlp2tf5dmjhzww22kkmipie">fatcat:vybtlp2tf5dmjhzww22kkmipie</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200505134738/http://www.dpi-proceedings.com/index.php/dtcse/article/download/33358/31945" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/25/6e/256e00df74ab75cc93df30987f3a7ef4b4082094.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12783/dtcse/cisnrc2019/33358"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

BUILDING EXTRACTION BASED ON OPENSTREETMAP TAGS AND VERY HIGH SPATIAL RESOLUTION IMAGE IN URBAN AREA

L. Kang, Q. Wang, H. W. Yan
<span title="2018-04-30">2018</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
How to derive contour of buildings from VHR images is the essential problem for automatic building extraction in urban area.  ...  The approach offers a new way for automatic interpretation of VHR images.  ...  Thematic information extraction from very high spatial resolution (VHR) remote sensing images has attracted more and more scholars' attention (Stefanov et al., 2001) and building extraction from VHR  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-3-715-2018">doi:10.5194/isprs-archives-xlii-3-715-2018</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l4ky3we33nezzlmwx5ab2w2khy">fatcat:l4ky3we33nezzlmwx5ab2w2khy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180718223526/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3/715/2018/isprs-archives-XLII-3-715-2018.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2b/52/2b5282e1b5f7339b6074c39f159ca49898bafdc0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-3-715-2018"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Possibilities and constraints in the use of very high spatial resolution UltraCamX airborne imagery and digital surface models for classification in densely built-up areas: a case study of Berlin

Corinna Brüsshaber, Anna Maria Trosset, Tilman Bucher, Ulrich Michel, Daniel L. Civco
<span title="2010-10-07">2010</span> <i title="SPIE"> Earth Resources and Environmental Remote Sensing/GIS Applications </i> &nbsp;
Our study shows the explicit advantage of high geometric resolution to increase the stability of classification and the number of classes in a representative area of Berlin.  ...  This ongoing study examines the level of detail of urban information that can be extracted.  ...  The proportion of sealed areas and additional the used materials can be recorded detailed based on very high resolution image data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.865826">doi:10.1117/12.865826</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pwwxnuvgpbb7dnovdqzoymxwui">fatcat:pwwxnuvgpbb7dnovdqzoymxwui</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922013209/http://elib.dlr.de/65846/1/7831-7_SPIE2010_Br%C3%BC%C3%9Fhaber_Trosset.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/31/e4/31e46e6ddd35ad5187d74f5861bf6dad272fb8f4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.865826"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Sustainability in Urban Ecosystems and Detecting Urban Vegetation from Different Images Using an Object-Based Approach [chapter]

Metin Tunay, Ayhan Atesoglu, Aycan M., Serkan Karaks, Hakan Aki
<span title="2012-03-07">2012</span> <i title="InTech"> Sustainable Development - Education, Business and Management - Architecture and Building Construction - Agriculture and Food Security </i> &nbsp;
., Karakış, S. and Şahin, H., (2004) GIS-Based Analysis Using Feature Extraction of Illegal Urbanization in Zonguldak Testfield Covered with Trees.  ...  Ikonos image used in this study was acquired from project supported by TUBITAK with a code no. 104Y296. References Akçın, H., Marangoz, A.  ...  The coverage ratio of the results by automated object extraction of the vegetation related to urban area from high resolution image data to the results by the manual extraction is quite high.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/29585">doi:10.5772/29585</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nzaef7igrrgxzgqgz2e2w6dxfa">fatcat:nzaef7igrrgxzgqgz2e2w6dxfa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180726181129/https://api.intechopen.com/chapter/pdf-download/29279" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/89/26/8926c0545d539ceb9cf507e1387f4951b0f25245.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/29585"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

GREEN INDEXING OF HISAR MUNICIPAL CORPORATION USING GEOSPATIAL TECHNIQUES

D. Singh, S. Mondal, R. S. Hooda
<span title="2018-11-27">2018</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
This study has been taken up to map the UGS in the Hisar Municipal Corporation (HMC) area of Haryana State constituting an area of 4197.32<span class="thinspace"></span>ha using high resolution LISS-IV  ...  Three different methods namely (a) Onscreen Digitization (b) Support Vector Machine-based classification (SVM) and (c) Multi Resolution Segmentation (MRS) have been tested to extract the green spaces.  ...  The basic type of urban green classes includes forest, trees/high urban vegetation, park and garden, grass or low vegetation, open space with vegetation or vegetation nearby the water areas.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-5-921-2018">doi:10.5194/isprs-archives-xlii-5-921-2018</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2fyzrffzujhylnq3opp57kcjj4">fatcat:2fyzrffzujhylnq3opp57kcjj4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428130821/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-5/921/2018/isprs-archives-XLII-5-921-2018.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/da/ee/daee3fb5259254f55515cebc023788c12e1516d0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-5-921-2018"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Fusion of multi‐spectral SPOT‐5 images and very high resolution texture information extracted from digital orthophotos for automatic classification of complex Alpine areas

Claudio Mariz, Damiano Gianelle, Lorenzo Bruzzone, Loris Vescovo
<span title="2009-06-10">2009</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/t3jxbtntvjhlnbvwdasscriu4u" style="color: black;">International Journal of Remote Sensing</a> </i> &nbsp;
, by changing the distribution of shadows and affecting the texture of high resolution imagery).  ...  In this scenario, this paper analyses the potential and the effectiveness of an automatic classification system to identify three fundamental vegetation classes (forest, grassland and crops) in the complex  ...  Automatic classification of complex Alpine areas 2863 Figure 2 shows the scheme adopted for the extraction of the texture parameters from a window centred on a generic pixel of the image from which a  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/01431160802558600">doi:10.1080/01431160802558600</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qmw24wo2sfhg7fic32ze5juklm">fatcat:qmw24wo2sfhg7fic32ze5juklm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809045014/http://rslab.disi.unitn.it/papers/R66-IJRS-Mar.pdf?origin=publication_detail" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/68/7f/687fac05224d67ccc41a96441e1b468de58b1958.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/01431160802558600"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> tandfonline.com </button> </a>
&laquo; Previous Showing results 1 &mdash; 15 out of 12,114 results