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An Automatic Shadow Detection Method for VHR Remote Sensing Orthoimagery

Qiongjie Wang, Li Yan, Qiangqiang Yuan, Zhenling Ma
<span title="2017-05-11">2017</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Hence, significant problems are encountered when automatically detecting shadows in VHR remote sensing images [33] .  ...  Prasath et al. [32] also applied a similar idea to georeferenced SAR images, and they proposed an automatic method for radar shadow detection from SAR images utilizing geometric projections along with  ...  and the VHR remotely sensed images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs9050469">doi:10.3390/rs9050469</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gorbe3wqxjhwnmtmeaemt7aewq">fatcat:gorbe3wqxjhwnmtmeaemt7aewq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180728100909/https://res.mdpi.com/def50200a8e0a4ecd14c5a898d61c770f70d167da9cef629fbb26cfdc50eb0ad075c3029611b214b0204faf30e5644d2ced46b5a19548fd53b67e2d5021d1d82e67fb7d6f37734596046ec84fb0d6e46919c7db3736e1c95545aeaee678b9124c4a4f872b585b5838165132f8632b069e5f4eef8f158d6364ae92e31dac2359095251ea2c8f143e0673be9c2cbcffd10ae59fb8173b2100d5f8baebab5ce0fc5fd78?filename=&amp;attachment=1" 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/fe/b6/feb69abbee0fb53f34c2e389f8a1ee5ee052a0a7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs9050469"> <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>

Object-Based Greenhouse Classification from GeoEye-1 and WorldView-2 Stereo Imagery

Manuel Aguilar, Francesco Bianconi, Fernando Aguilar, Ismael Fernández
<span title="2014-04-25">2014</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Remote sensing technologies have been commonly used to perform greenhouse detection and mapping.  ...  Height data, in the form of nDSM, were the most important feature for greenhouse classification.  ...  Acknowledgments This work, including the first author's research visit at the University of Perugia, Perugia, Italy, was supported by the Spanish Ministry for Science and Innovation (Spanish Government  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs6053554">doi:10.3390/rs6053554</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s4n6cvxumbfprkrfcwmf5etyuu">fatcat:s4n6cvxumbfprkrfcwmf5etyuu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170923055451/http://www.mdpi.com/2072-4292/6/5/3554/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/8f/39/8f3910c32257c8635c4cec430c58c27979b73dd6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs6053554"> <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>

Land Use and Land Cover Classification Using Deep Learning Techniques [article]

Nagesh Kumar Uba
<span title="2019-05-01">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
learning algorithms to exploit this imagery for automatic land use/ land cover (LULC) classification.  ...  Recent technological and commercial applications have driven the collection a massive amount of VHR images in the visible red, green, blue (RGB) spectral bands, this work explores the potential for deep  ...  The proposed approach in this thesis has shown that it can be applied to remote sensing applications for automatic LULC classification from VHR images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.00510v1">arXiv:1905.00510v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4b33jip7g5hwxh6l2kuumavfqa">fatcat:4b33jip7g5hwxh6l2kuumavfqa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200929193649/https://arxiv.org/ftp/arxiv/papers/1905/1905.00510.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/47/0e/470e28b027f6cf917ca97fec6196ff31c8501560.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.00510v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives

Marco Scaioni, Laura Longoni, Valentina Melillo, Monica Papini
<span title="2014-10-13">2014</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
The aim of this paper is to give an overview on the applications of remote-sensing techniques for the three categories of landslide investigations, focusing on the achievements of the last decade, being  ...  The third class groups methods for landslide hazard analysis and forecasting.  ...  Optical Remote Sensing Optical remote sensing is mainly used (i) to give an overview on the development of the general conditions of a landslide and (ii) to measure ground deformations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs6109600">doi:10.3390/rs6109600</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/af5qjdswareyhi7lqclhib2hey">fatcat:af5qjdswareyhi7lqclhib2hey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501223701/https://re.public.polimi.it/retrieve/handle/11311/886093/26918/remotesensing-06-09600.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/8b/02/8b02bb7d128397447b5dafbaf93315b66dfb62fc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs6109600"> <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>

PGA-SiamNet: Pyramid Feature-Based Attention-Guided Siamese Network for Remote Sensing Orthoimagery Building Change Detection

Jiang, Hu, Li, Zhang, Gong, Zhang
<span title="2020-02-03">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
The experiments demonstrate that the proposed method is effective for building change detection and outperforms the existing state-of-the-art methods on high-resolution remote sensing orthoimages in various  ...  In recent years, building change detection has made remarkable progress through using deep learning.  ...  It performed excellently on remote sensing orthoimagery for building change detection and yielded better results on complex urban environments when compared with other methods.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12030484">doi:10.3390/rs12030484</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h6evadodbrd5popzftttmfdxaa">fatcat:h6evadodbrd5popzftttmfdxaa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200213015332/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-12-00484/article_deploy/remotesensing-12-00484-v3.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/f1/ad/f1ada1c7ef5595d0b044e109a2723c40abd23122.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12030484"> <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>

Incorporating Deep Features into GEOBIA Paradigm for Remote Sensing Imagery Classification: A Patch-Based Approach

Bo Liu, Shihong Du, Shouji Du, Xiuyuan Zhang
<span title="2020-09-15">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Geographic object-based image analysis methods (GEOBIA) provide an effective solution using image objects instead of individual pixels in VHR remote sensing imagery analysis.  ...  This study presents a patch-based strategy for integrating deep features into GEOBIA for VHR remote sensing imagery classification.  ...  Conclusions In this study, we showed an effective method of integrating deep features into GEOBIA for VHR remote sensing imagery classification.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12183007">doi:10.3390/rs12183007</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qn7vfbkbe5cz7edetzbrv3ywzy">fatcat:qn7vfbkbe5cz7edetzbrv3ywzy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200928222434/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-12-03007/article_deploy/remotesensing-12-03007.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/29/f4/29f4b15d27cd6665b2ad13b03dab38b1b8e0577d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12183007"> <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>

Advances in remote sensing applications for urban sustainability

Nada Kadhim, Monjur Mourshed, Michaela Bray
<span title="2016-10-18">2016</span> <i title="Springer Nature"> Euro-Mediterranean Journal for Environmental Integration </i> &nbsp;
Various aspects of remote sensing are routinely used to detect and map features and changes on land and sea surfaces, and in the atmosphere that affect urban sustainability.  ...  The proliferation of sustainability thinking in all facets of urban development and management also acts as a catalyst for the increased use of, and advances in, remote sensing for urban applications.  ...  The authors would also like to thank Mr Mohammed Salih and Mrs Amera Ali for a useful discussion on the applications of urban remote sensing.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s41207-016-0007-4">doi:10.1007/s41207-016-0007-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lqtm3fzalzbdfiy5aegzhdzhia">fatcat:lqtm3fzalzbdfiy5aegzhdzhia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171114010212/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/ce2/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjEwMDcvczQxMjA3LTAxNi0wMDA3LTQucGRm.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/bb/fb/bbfb1854d0817c6837e361501f763fab5f3689c6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s41207-016-0007-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

CREATING WALLONIA'S NEW VERY HIGH RESOLUTION LAND COVER MAPS: COMBINING GRASS GIS OBIA AND OTB PIXEL-BASED RESULTS

M. Lennert, T. Grippa, J. Radoux, C. Bassine, B. Beaumont, P. Defourny, E. Wolff
<span title="2019-08-23">2019</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;
The project thus consists in developing a combination of methods, and to integrate their results through an ensemble fusion approach.  ...  , such an approach has its limits in the rural and more natural areas due to increased difficulties for segmentation and less sharp boundaries, thus calling for a pixel-based approach.  ...  The authors would also like to thank the GRASS GIS Development team for their responsiveness to any requests for changes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-4-w14-151-2019">doi:10.5194/isprs-archives-xlii-4-w14-151-2019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sxo3nssaivcdfc7x2caxhflm4i">fatcat:sxo3nssaivcdfc7x2caxhflm4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208072106/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W14/151/2019/isprs-archives-XLII-4-W14-151-2019.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/0d/df/0ddf5e674a9b8ee3ac919975e730f0e895fa98ec.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-4-w14-151-2019"> <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>

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

Martin Längkvist, Andrey Kiselev, Marjan Alirezaie, Amy Loutfi
<span title="2016-04-14">2016</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Remote Sens. 2016, 8, 329 2 of 21 work, we investigate the use of a CNN for per-pixel classification of very high resolution (VHR) satellite imagery.  ...  An interesting property of CNN is that it uses unsupervised feature learning to automatically learn feature representations.  ...  Manual Labeling In remote sensing, the definition and acquisition of reference data are often critical problems [49] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs8040329">doi:10.3390/rs8040329</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6vmtregvcraslkp2fj7562tdja">fatcat:6vmtregvcraslkp2fj7562tdja</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719171032/https://res.mdpi.com/def5020004bd318403d75492d54f8c94e064570ee18b943fbd84fab384622fb104244841fd271426b565a32e1cf16e455526a56b31599ac09c660ec6b5c9b3287dbea67263c0fbbe24dbdd89147cac65b41531351ef3e63807237436ab720b986403e69164ab28475f0c4e078f3c0ea716d604c3598ca42144de50149ee369e94c5b058d9c6f280f4cd6c396ab781dc203b40581fca499159926c090edb8492e8f04?filename=&amp;attachment=1" 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/62/69/6269c25f3cebe4dba83bd7feb78735796ffcdf6d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs8040329"> <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>

New tools for old problems — comparing drone- and field-based assessments of a problematic plant species

Jens Oldeland, Rasmus Revermann, Jona Luther-Mosebach, Tillmann Buttschardt, Jan R. K. Lehmann
<span title="2021-01-27">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5izsexugobfqtb55unhfeog4dm" style="color: black;">Environmental Monitoring &amp; Assessment</a> </i> &nbsp;
A field survey was conducted afterwards using the drone orthoimagery as a baseline.  ...  Post-processing revealed 0.31 ha of misclassified polygons, which were often related to water runnels or shadows, leaving 5.91 ha of E. athericus cover.  ...  We also thank two anonymous reviewers for their recommendations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10661-021-08852-2">doi:10.1007/s10661-021-08852-2</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33501565">pmid:33501565</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ngpkejt5b5erjaevmxmtucecvq">fatcat:ngpkejt5b5erjaevmxmtucecvq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429041053/https://link.springer.com/content/pdf/10.1007/s10661-021-08852-2.pdf?error=cookies_not_supported&amp;code=54354c0d-84e3-4b04-ad4a-8f2e2bea7dfe" 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/63/d9/63d934d2324cc6954bc9cb1ee66aadb8d5eb3f6d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10661-021-08852-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

A Survey on Intelligent Agricultural Information Handling Methodologies

Yorghos Voutos, Phivos Mylonas, John Katheniotis, Anastasia Sofou
<span title="2019-06-13">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oglosmy3gbhuzobyjit4qalakq" style="color: black;">Sustainability</a> </i> &nbsp;
Still, at the beginning of the new century, there are ways and room for further vast improvements.  ...  In this sense, the main goals of this paper may be summarized as follows: (a) To identify, group, and acknowledge the current state-of-the-art research knowledge about intelligent agriculture approaches  ...  The researchers proposed an image processing algorithm for the automatic detection of vine rows from gray-scale aerial imagery.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su11123278">doi:10.3390/su11123278</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cds5zgj7h5h2zaaclxlr654a2a">fatcat:cds5zgj7h5h2zaaclxlr654a2a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200214162937/https://res.mdpi.com/d_attachment/sustainability/sustainability-11-03278/article_deploy/sustainability-11-03278-v2.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/b8/9f/b89f1a3075fb341c3800487374c1692e0b291f61.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su11123278"> <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>

Comparison of Image Endmember- and Object-Based Classification of Very-High-Spatial-Resolution Unmanned Aircraft System (UAS) Narrow-Band Images for Mapping Riparian Forests and Other Land Covers

Anthony M. Filippi, İnci Güneralp, Cesar R. Castillo, Andong Ma, Gernot Paulus, Karl-Heinrich Anders
<span title="">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7ixbv73hanfolor6ms2zcqigse" style="color: black;">Land</a> </i> &nbsp;
There has been an increasing use of very-high-spatial-resolution (VHR) unmanned aircraft systems (UAS)-based remote sensing for riparian forest mapping.  ...  However, for improved riparian forest/zone monitoring, restoration, and management, an enhanced understanding of the accuracy of different classification methods for mapping riparian forests and other  ...  Acknowledgments: The authors thank the anonymous reviewers for their constructive remarks, which improved the clarity and quality of this article.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/land11020246">doi:10.3390/land11020246</a> <a target="_blank" rel="external noopener" href="https://doaj.org/article/5c03797385f1457c9fe764d1fbefcdb2">doaj:5c03797385f1457c9fe764d1fbefcdb2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wtleggcudvdezninzsx4d77tuy">fatcat:wtleggcudvdezninzsx4d77tuy</a> </span>
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Object-Based Classification of Urban Distinct Sub-Elements Using High Spatial Resolution Orthoimages and DSM Layers

Ali Nouh Mabdeh, A'kif Al-Fugara
<span title="">2018</span> <i title="Scientific Research Publishing, Inc,"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jc7m3hv5efgrtjnhgiptx3iqli" style="color: black;">Journal of Geographic Information System</a> </i> &nbsp;
This has an overall Kappa of 0.74 and the data that had poor classification accuracy included shade, parking lots and concrete pavements.  ...  For the study area chosen for this paper, 400 Orthoimages with a spatial resolution of 7 cm each were used to build the Orthoimages and DSM, which were georeferenced using well distributed network of ground  ...  Acknowledgements The authors express their appreciation to MARSRobotics® Company team and management for their full technical and in-kind support in acquiring the aerial images, utilization of MARSRobotics  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/jgis.2018.104017">doi:10.4236/jgis.2018.104017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/a4uvkltpknbpvgctnuscjuljve">fatcat:a4uvkltpknbpvgctnuscjuljve</a> </span>
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Introducing GEOBIA to Landscape Imageability Assessment: A Multi-Temporal Case Study of the Nature Reserve "Kózki", Poland

Szymon Chmielewski, Andrzej Bochniak, Asya Natapov, Piotr Wężyk
<span title="2020-08-27">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Geographic object-based image analysis (GEOBIA) is a primary remote sensing tool utilized in land-cover mapping and change detection.  ...  In doing so, eight different remote sensing imageries are the object of GEOBIA, starting from a historical aerial photograph (1957) and CORONA declassified scene (1965) to contemporary (2018) UAV-delivered  ...  sharing their knowledge and experience in the segmentation accuracy assessment task and for fruitful discussion.  ... 
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Deep Learning for Automatic Colorization of Legacy Grayscale Aerial Photographs

Quentin Poterek, Pierre-Alexis Herrault, Grzegorz Skupinski, David Sheeren
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b2n2tpw5ang73osulebz6bm4ju" style="color: black;">IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</a> </i> &nbsp;
However, these photographs lack spectral information thereby hindering their use in current remote sensing approaches that rely on spectral data for characterizing surfaces.  ...  His research interests include remote sensing for landsacpe ecology, image analysis for mapping forest ecosystems and agroecological infrastructures, and the modeling of species-habitat relationships with  ...  The contribution of color, texture, and lightness features for land monitoring using remote sensing is well known, for example, Heller et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstars.2020.2992082">doi:10.1109/jstars.2020.2992082</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/65hiaepm5nbhnidrkd7fi52uri">fatcat:65hiaepm5nbhnidrkd7fi52uri</a> </span>
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