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How to involve structural modeling for cartographic object recognition tasks in high-resolution satellite images?

Guray Erus, Nicolas Loménie
2010 Pattern Recognition Letters  
With the new generation of satellite systems, very high resolution satellite images will be available daily at a high delivery rate.  ...  In particular, the detection and recognition of complex man-made objects is a new challenge coming with this new level of resolution.  ...  Acknowledgments We would like to thank French Space Agency -CNES, Toulouse, and especially Gilbert Pauc and Jordi Inglada for their support.  ... 
doi:10.1016/j.patrec.2010.01.013 fatcat:kew4icf7rfh2zhex4jdrgilcfe

Establishing a Digital Topographic Database Using a High Resolution Imagery

Chris Adebola Odeyemi
2015 International Journal of Science Technology and Society  
) resolution satellite images,the sustainable development of Nigeria can be attained with the use of maps to achieve UN Sustainable Development Goals (SDG).  ...  This paper takes an overview of the use of high reslution imageries for the establishment of digital topographic information, it also review some modern techniques of map making, using high resolution  ...  Especially the high spatial resolution satellite images can be the candidates for mapping in competition to aerial photographs.  ... 
doi:10.11648/j.ijsts.20150306.12 fatcat:f227ms5jabdv7hslksxr6i2zay

Rural Road Extraction using Object Based Image Analysis (OBIA): A case study from Assam, India

Ankita Medhi, Ashis Kumar Saha
2019 Advances in Cartography and GIScience of the International Cartographic Association  
Object based Image Analysis (OBIA) has emerged as a promising map analysis approach using high and very high resolution imageries.  ...  For detailed mapping of roads higher resolution satellite imageries are required.  ...  Object Based Image Analysis (OBIA) approach has been used for extracting rural roads from high resolution satellite data.  ... 
doi:10.5194/ica-adv-1-13-2019 fatcat:2v5bkds4xzdmxdqnpmupb6r3sy

A Survey of Satellite High Resolution Image Classification

Ruby Bharti, Jitendra Kurmi
2017 International Journal of Computer Applications  
The main problems in high resolution image classification are the uncertainties in the position of object borders in satellite images and also multiplex resemblance of the segments to different classes  ...  The aim of this research is to present a detailed step-by-step method for classification of very high resolution urban satellite images (VHRSI) into specific classes such as road, building, vegetation,  ...  Considering the existence of extreme level of detail in very high resolution urban satellite images (VHRSI), object-based methods are being increasingly employed for image classification since they have  ... 
doi:10.5120/ijca2017913566 fatcat:bdu4cuxeorc6ti2sm553bhviay

An Efficient Multi-stage Object-Based Classification to Extract Urban Building Footprints from HR Satellite Images

Gopala Krishna VSSN Pendyala, Hemantha Kumar Kalluri, Venkateswara C. Rao
2021 Traitement du signal  
Urban building information can be effectively extracted by applying object-based image segmentation and multi-stage thresholding on High Resolution (HR) remote sensing satellite imageries.  ...  The results are found to be in a match with the method using the high resolution Airborne LiDAR DSM by providing a solution for large areas, low cost and low time.  ...  It is found that, the f-score achieved by various researchers for HR satellite image data (model 1) is 0.644 -0.904, for HR satellite image + derived products (model 2) is 0.809 -0.885 and for HR satellite  ... 
doi:10.18280/ts.380120 fatcat:dwj24nyeozhbtmoymsm5qav33y

PHOTOGRAMMETRIC MAPPING FROM HIGH-RESOLUTION STEREO IMAGERY AND COMPARATIVE ANALYSIS USING EXISTING DATA

Yangchen Pelmo, Jigme TENZIN, Dawa Tshering, Pema Tshedrup
2021 Journal of Applied Engineering, Technology and Management  
The launch of the very high resolution (VHR) sensor satellites has paved the way for further exploitation of the capabilities of stereo satellite imagery for many applications and most importantly in the  ...  This paper explores the methods of production and an analysis of the capabilities of the high-resolution stereo imaging system for the extraction of features (topographic map) and generation of digital  ...  ACKNOWLEDGEMENTS The research team would like to sincerely thank Jigme Namgyel Engineering College for the opportunity and all the support rendered to successfully complete the study.  ... 
doi:10.54417/jaetm.v1i1.26 fatcat:4zzwvqlspvdq7nur5fsbzvsbue

Application of PDE and Mathematical Morphology in the Extraction Validation of the Roads

Fabricio Leonardi, Viviane Sampaio Santiago, Carolina Dias Chaves, Erivaldo Antônio da Silva
2013 Journal of Signal and Information Processing  
When digital images are used with high spatial resolution, one of the problems emerging the high variability of targets presents in such images.  ...  This work uses techniques of the partial differential equations (PDE) and mathematical morphology to extract cartographic features in digital images of the remote sensing.  ...  , through the Quickbird satellite, high resolution spatial.  ... 
doi:10.4236/jsip.2013.43039 fatcat:ehmt7arrgzf23ddiedaltnnr6i

SEMI-AUTOMATIC ROAD NETWORK EXTRACTION FROM DIGITAL IMAGES USING OBJECT-BASED CLASSIFICATION AND MORPHOLOGICAL OPERATORS

Darlan Miranda Nunes, Nilcilene das Graças Medeiros, Afonso de Paula dos Santos
2018 Boletim de Ciências Geodésicas  
In this sense, this work aimed the road network extraction from RapidEye satellite imagery, by developing a hybrid methodology using techniques of object-based image classification and morphological operators  ...  By the proposed extraction process, were achieved in terms of correctness and completeness the values of 92.23% and 85.15% for test site 1, the values of 79.16% and 81.06% for test site 2, and the values  ...  Cardim for providing the program used for the evaluation of the experiments results.  ... 
doi:10.1590/s1982-21702018000400030 fatcat:4rykmobk2rhtphriaet5ibbusm

Image information mining methods for exploring and understanding high resolution images

Mihai Datcu, Gottfried Schwarz
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
The EO information content extraction, particularly in the case of High Resolution satellite or airborne images, is mainly based on human expert knowledge and manual/visual interpretation.  ...  Among the particularities of the High Resolution images (0.5-2m), and what makes their interpretation  ...  These are interactive paradigms to decompose images into meaningful objects or structures using the user interaction for indicating a limited number of examples and generalizing the semantic annotation  ... 
doi:10.1109/igarss.2010.5654442 dblp:conf/igarss/DatcuS10 fatcat:tzotmwgoxbfptbh2pspcqyc2wi

Evaluation of the Use of Inertial Platform for the Generation of Cartography

Luís Antônio de Lima, Diogenes Cortijo Costa, Jorge Luiz Alves Trabanco, Maria Teresa Françoso
2014 Journal of Civil Engineering and Architecture  
flight conducted in June 2009 on the campus of the State University of Campinas-UNICAMP, using a medium format digital camera and laser system, with which we obtained images with a spatial resolution of  ...  both for planimetric as for altimetry, and that the procedure reached results consistent with cartographic products in 1:2,000 scale, representing a reduction of steps in the mapping process, necessary  ...  aerial digital camera and laser scanner system to obtain images with a 0.15 m spatial resolution and a digital model of the ground with a 0.50 m resolution.  ... 
doi:10.17265/1934-7359/2014.09.014 fatcat:nntuz5idwjffjkvep7yluuso6q

Intelligent High Resolution Satellite/Aerial Imagery

Nadeem Fareed
2014 Advances in Remote Sensing  
is not directly available in high resolution satellite images.  ...  High resolution satellite images are rich source of geospatial information.  ...  , train stations, fuel stations, places of worships e.g. mosques, they carry their real cartographic signs and are identifiable in high resolution satellite images.  ... 
doi:10.4236/ars.2014.31001 fatcat:qou26ebzu5bgln4bimcdvwozaq

High-Resolution Satellite Image Sources for Disaster Management in Urban Areas [chapter]

Jonathan Li, Yu Li, Michael A. Chapman
2005 Geo-information for Disaster Management  
We focus on the potential of available very high-resolution commercial satellite image data for rapid urban mapping and discuss the example of automated building and road extraction from pan-sharpened  ...  which high-resolution satellite imagery (0.6 -5 m) can play in satisfying these geospatial information requirements, and effective image exploitation methods.  ...  Acknowledgements This research was partially supported by a Natural Sciences and Engineering Research Council of Canada (NSERC) discovery grant.  ... 
doi:10.1007/3-540-27468-5_74 fatcat:ux2wej52yvejhb4cc7eoynl54y

The earth knowledge base and the global information society

A Martynenko
2005 Data Science Journal  
An analysis of the problem has been done in the article.  ...  Here in Russia this crucial role belongs to the Electronic (Digital) Earth initiative, which integrates geoinformation technologies in the Earth Knowledge Base (EKB).  ...  1: 1 00 000, 1: 200 000, 1: 500 000 and 1: 1 000 000; city plans at scales of 1 : 1 0 000 H 1: 25 000, high resolution aerial photo graphs, satellite images; reference (statistical) data in digital and  ... 
doi:10.2481/dsj.4.27 fatcat:dh66wiyrc5fx3cher5iyswgtt4

Buildings Extraction from Imagery based on Contextual Information and Mathematical Morphology

Z. Nougrara, K. Hachemi
2019 Advances in Modelling and Analysis B  
The second one is the integration of an optimization process for the extraction of buildings; it is used to formulate the buildings extraction problem as a problem of optimization of an objective function  ...  This paper presents a new method for extraction of buildings from different types of imagery.  ...  A dense-attention network has been presented for 2D building extraction in Very High Resolution images [18] .  ... 
doi:10.18280/ama_b.622-402 fatcat:sbjdgqov3nc5vfotckbsvuvkrm

AUTOMATIC CENTERLINE EXTRACTION OF COVERD ROADS BY SURROUNDING OBJECTS FROM HIGH RESOLUTION SATELLITE IMAGES

H. Kamangir, M. Momeni, M. Satari
2017 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper presents an automatic method to extract road centerline networks from high and very high resolution satellite images.  ...  process on classified images by connected component and morphological operators to extract pixels of desired objects by removing undesirable pixels of each class, and finally line extraction based on  ...  They argued that the surrounding objects, for instance occlusion of trees and shadows are problematic factors to optimize the extraction in high-resolution images.  ... 
doi:10.5194/isprs-archives-xlii-4-w4-111-2017 fatcat:vohoicxfebfpxmmxs5mj6vea3m
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