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Unsupervised segmentation of high-resolution remote sensing images based on classical models of the visual receptive field / Miaozhong Xu in Geocarto international, vol 30 n° 9 - 10 (October - November 2015)  

Public [article]  inGeocarto international > vol 30 n° 9 - 10 (October - November 2015) . - pp 997 - 1015 Titre : Unsupervised segmentation of high-resolution remote sensing images based on classical models of the visual receptive field Type de document : Article/Communication Auteurs : Miaozhong Xu, Auteur ; Ming Cong, Auteur ; Tianpeng Xie, Auteur Année de publication : 2015 Article en page(s) : pp 997 - 1015 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] champ aléatoire de Markov [Termes IGN] filtre de Gabor [Termes IGN] segmentation d'image [Termes IGN] transformation en ondelettes Résumé : (Auteur) Here, we describe an unsupervised segmentation method incorporating log-Gabor (LG) filters and a Markov random field (MRF) model for high-resolution (HR) remote sensing (RS) images, based on classical models of the visual receptive field. LG filters were utilised to model the receptive fields of the simple cells in the primary visual cortex and extract detailed features from HR–RS images followed by construction of image pyramid through wavelet decomposition to simulate the hierarchical structure of the visual sensing system. Finally, based on the original HR–RS images, their detailed features and the image pyramid, the MRF image segmentation model was applied to obtain the final segmentation result. Real HR–RS images were used as experimental data to validate the proposed method, both qualitatively (visually) and numerically (with the overall accuracy and Kappa index).The experimental results indicate that the proposed method is effective, feasible and robust to noise. Numéro de notice : A2015-627 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1006529 Date de publication en ligne : 26/02/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1006529 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78110 [article]

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