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A feature based change detection approach using multi-scale orientation for multi-temporal SAR images / R. Vijaya Geetha in European journal of remote sensing, vol 54 sup 2 (2021)  

Public [article]  inEuropean journal of remote sensing > vol 54 sup 2 (2021) . - pp 248 - 264 Titre : A feature based change detection approach using multi-scale orientation for multi-temporal SAR images Type de document : Article/Communication Auteurs : R. Vijaya Geetha, Auteur ; S. Kalaivani, Auteur Année de publication : 2021 Article en page(s) : pp 248 - 264 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] analyse de groupement [Termes IGN] anisotropie [Termes IGN] chatoiement [Termes IGN] classification non dirigée [Termes IGN] classification par nuées dynamiques [Termes IGN] détection de changement [Termes IGN] filtre de Gabor [Termes IGN] image multitemporelle [Termes IGN] image radar moirée [Termes IGN] matrice de confusion [Termes IGN] transformation en ondelettes Résumé : (auteur) Excellent operation regardless of weather conditions and superior resolution independent of sensor light are the most attractive and desired features of synthetic aperture radar (SAR) imagery. This paper proposes an exclusive multi-scale with multiple orientation approach for multi-temporal SAR images. This approach integrates pre-processing and change detection. Pre-processing is performed on the SAR imagery through speckle reducing anisotropic diffusion and discrete wavelet transform. The processed speckle-free images are designed by Log-Gabor filter bank in terms of multi-scale with multiple orientations. The maximum magnitude of multiple orientations is concatenated to obtain feature-based scale representation. Each scale is dealt with multiple orientations and is compared by band-wise subtraction to retrieve difference image (DI) coefficient. The series of the difference coefficients from each scale are add-on together to estimate a DI. Thus, the resultant image of multi-scale orientation gives perception of detailed information with specific contour. Constrained k-means clustering algorithm is preferred to achieve change and un-change map. Performance of the proposed approach is validated on three real SAR image datasets. The effective change detection is examined by using confusion matrix parameters. Experimental results are described to show the efficacy of the proposed approach. Numéro de notice : A2021-819 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/22797254.2020.1759457 Date de publication en ligne : 12/06/2020 En ligne : https://doi.org/10.1080/22797254.2020.1759457 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98924 [article]

Spatial structure system of land use along urban rail transit based on GIS spatial clustering / Yu Gao in European journal of remote sensing, vol 54 sup 2 (2021)  

Public [article]  inEuropean journal of remote sensing > vol 54 sup 2 (2021) . - pp 438 - 445 Titre : Spatial structure system of land use along urban rail transit based on GIS spatial clustering Type de document : Article/Communication Auteurs : Yu Gao, Auteur ; Ying Zhang, Auteur ; Haidjar Alsulaiman, Auteur Année de publication : 2021 Article en page(s) : pp 438 - 445 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] aménagement du territoire [Termes IGN] analyse de groupement [Termes IGN] Chine [Termes IGN] exploration de données géographiques [Termes IGN] modélisation spatiale [Termes IGN] optimisation (mathématiques) [Termes IGN] planification urbaine [Termes IGN] réseau ferroviaire [Termes IGN] système d'information géographique [Termes IGN] utilisation du sol [Termes IGN] zone urbaine Résumé : (auteur) During the past 30 years of reform and opening up, the level of urbanization in our country has made considerable progress, and more cities have had development conditions of the rail transit. In order to solve various problems caused by urbanization and optimize the allocation of urban resources, in this paper, the significance of spatial planning in big cities was analyzed from the perspective of land space utilization along with the rail transit. Based on GIS spatial clustering mining technology and combined with the basic characteristics of geographic information system, a GIS spatial mining search model that can solve the spatial land use was proposed. Then, by combining the clustering algorithm of some association rules, the land planning and utilization along the urban rail transit were calculated. The actual case was taken to establish the grid elements along with the rail transit, and the GIS spatial clustering algorithm was used to verify the model. The results show that GIS spatial clustering algorithm can effectively verify and calculate urban rail transit land planning programs. Numéro de notice : A2021-820 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/22797254.2020.1801356 Date de publication en ligne : 14/11/2020 En ligne : https://doi.org/10.1080/22797254.2020.1801356 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98925 [article]