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A cognitive framework for road detection from high-resolution satellite images / Naveen Chandra in Geocarto international, vol 34 n° 8 ([15/06/2019])  

Public [article]  inGeocarto international > vol 34 n° 8 [15/06/2019] . - pp 909 - 924 Titre : A cognitive framework for road detection from high-resolution satellite images Type de document : Article/Communication Auteurs : Naveen Chandra, Auteur ; Jayanta Kumar Ghosh, Auteur ; Ashu Sharma, Auteur Année de publication : 2019 Article en page(s) : pp 909 - 924 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] cadre conceptuel [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] extraction du réseau routier [Termes IGN] image à haute résolution [Termes IGN] image satellite [Termes IGN] méthode fondée sur le noyau [Termes IGN] représentation cognitive [Termes IGN] zone urbaine Résumé : (auteur) Road network extraction from high-resolution satellite (HRS) imagery is a complex task. It is an important field of research and is widely used in various cartographic applications such as updating and generating maps. The objective of this research work is to develop a novel framework, emulating human cognition, for detection of roads from HRS images. Roads network from HRS images are detected using support vector machines within the different stages of cognitive task analysis. In the first stage, basic information about the cognitive parameters which are required for image interpretation is collected. In the second stage, the rule-based method is used for knowledge representation. Lastly, during knowledge elicitation, the developed rules are used to extract roads from HRS images. The proposed method is validated using 16 HRS images of developed suburban, developed urban, emerging suburban and emerging urban region. Numéro de notice : A2019-515 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2018.1450451 Date de publication en ligne : 29/03/2018 En ligne : https://doi.org/10.1080/10106049.2018.1450451 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93869 [article]

Atmospheric correction to IRS-P6 AWiFS data and its validation with ground measurements: a study over the semi-arid region / Ashu Sharma in Geocarto international, vol 25 n° 7 (November 2010)  

Public [article]  inGeocarto international > vol 25 n° 7 (November 2010) . - pp 581 - 594 Titre : Atmospheric correction to IRS-P6 AWiFS data and its validation with ground measurements: a study over the semi-arid region Type de document : Article/Communication Auteurs : Ashu Sharma, Auteur ; S. Karol, Auteur ; K. Badarinath, Auteur Année de publication : 2010 Article en page(s) : pp 581 - 594 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] aérosol [Termes IGN] correction atmosphérique [Termes IGN] données de terrain [Termes IGN] image IRS-AWIFS [Termes IGN] image Terra-MODIS [Termes IGN] zone semi-aride Résumé : (Auteur) In this study, we have implemented a fast atmospheric correction algorithm to IRS-P6 advanced wide field sensor (AWiFS) satellite data for retrieving surface reflectance under different atmospheric and surface conditions. The algorithm is based on MODIS climatology products and simplified use of Second Simulation of Satellite Signal in Solar Spectrum (6S) radiative transfer code. The algorithm requires information on aerosol optical depth (AOD) for correcting the satellite dataset. The atmospheric correction algorithm has been tested for IRS-P6 AWiFS False colour composites covering the International Crops Research Institute for the Semi-Arid Tropics Farm, Patancheru, Hyderabad, India, under varying atmospheric conditions. Ground measurements of surface reflectance representing different land use/land cover, i.e. red soil, chick pea, groundnut and pigeon pea crops were conducted to validate the algorithm. Terra MODIS AOD550 validated with Microtops-II sun photometer-derived AOD500 over the urban region of Hyderabad exhibited very good correlation of ?0.92, suggesting possible use of satellite-derived AOD for atmospheric correction. Numéro de notice : A2010-472 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2010.516842 Date de publication en ligne : 25/08/2010 En ligne : https://doi.org/10.1080/10106049.2010.516842 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30665 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2010071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Vertical accuracy of digital elevation model from Shuttle Radar Topographic Mission: a case study / Ashu Sharma in Geocarto international, vol 25 n° 4 (July 2010)  

Public [article]  inGeocarto international > vol 25 n° 4 (July 2010) . - pp 257 - 267 Titre : Vertical accuracy of digital elevation model from Shuttle Radar Topographic Mission: a case study Type de document : Article/Communication Auteurs : Ashu Sharma, Auteur ; K. Tiwari, Auteur ; P. Bhadoria, Auteur Année de publication : 2010 Article en page(s) : pp 257 - 267 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] erreur en altitude [Termes IGN] erreur moyenne quadratique [Termes IGN] image radar moirée [Termes IGN] MNS SRTM [Termes IGN] modèle numérique de surface [Termes IGN] précision altimétrique Résumé : (Auteur) Vertical accuracy of the processed Shuttle Radar Topographic Mission (SRTM) digital elevation model (DEM) was evaluated using spot height as well as reference DEM. Terrain dependency of error was also explored in relation to elevation, slope and aspect of the terrain. The positive mean error (6.77 + 1.79 m) indicated that the SRTM DEM was slightly underestimating the elevation and this pattern gradually increases towards higher elevation. The observed root mean square error (RMSE) (27.58 + 4.22 m) for the region do not fulfill the 16 m RMSE specification of the SRTM mission. High magnitude errors are typical to steep slope (due to overestimation) and in stream valley (due to underestimation). The magnitude of residuals for NW, W and SW facing slope was smaller as compared to their complementary angle. Results also indicated a S and NE components in SRTM DEM because of underestimation and overestimation of elevation, respectively. Numéro de notice : A2010-276 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040903302931 Date de publication en ligne : 26/09/2009 En ligne : https://doi.org/10.1080/10106040903302931 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30470 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2010041	RAB	Revue	Centre de documentation	En réserve L003	Disponible