Advanced image processing techniques for remotely sensed hyperspectral data / Varshney, Pramod K.

Public ISBD Faire une suggestion d'achat Titre : Advanced image processing techniques for remotely sensed hyperspectral data Type de document : texte imprimé Auteurs : Varshney, Pramod K., Auteur Année de publication : 2004 Importance : xv-322 p. Format : 24 cm. ISBN/ISSN/EAN : 978-3-642-06001-4 Langues : Anglais (eng) Index. décimale : 778 Différents domaines de la photographie Résumé : This book introduces the reader to a new generation of information extraction techniques and image processing operations for multispec-tral and particularly hyperspectral data. It addresses the recent developments in the areas of image registration, fusion and change detection, feature extraction, classification of remote sensing data and accuracy assessment. A number of experimental examples based on a variety of remote sensing sensors are included. The material is presented at a level suitable for a diverse audience ranging from beginners to advanced remote sensing researchers and practitioners. This book can be used as a text or a reference in courses on image analysis and remote sensing. It can also be used as a reference book by remote sensing researchers, scientists and users, as well as by resource managers and planners. Advanced image processing techniques for remotely sensed hyperspectral data [texte imprimé] / Varshney, Pramod K., Auteur . - 2004 . - xv-322 p. ; 24 cm. ISBN : 978-3-642-06001-4 Langues : Anglais (eng) Index. décimale : 778 Différents domaines de la photographie Résumé : This book introduces the reader to a new generation of information extraction techniques and image processing operations for multispec-tral and particularly hyperspectral data. It addresses the recent developments in the areas of image registration, fusion and change detection, feature extraction, classification of remote sensing data and accuracy assessment. A number of experimental examples based on a variety of remote sensing sensors are included. The material is presented at a level suitable for a diverse audience ranging from beginners to advanced remote sensing researchers and practitioners. This book can be used as a text or a reference in courses on image analysis and remote sensing. It can also be used as a reference book by remote sensing researchers, scientists and users, as well as by resource managers and planners.

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