Remote Sensing Digital Image Analysis / John A. Richards  

Public ISBD Titre : Remote Sensing Digital Image Analysis Type de document : texte imprimé Auteurs : John A. Richards, Auteur Editeur : switzerland:Springer Année de publication : 2022 Importance : Number of pages XX, 567 Format : 24x16cm Accompagnement : Number of illustrations 235 b/w illustrations, 46 illustrations in colour ISBN/ISSN/EAN : 978-3-030-82326-9 Note générale : Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data Langues : Anglais (eng) Mots-clés : Remote/Sensing/Digital Image/Analysis Index. décimale : ST/629-05 Résumé : Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data. Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same. As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image analysis in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. The chapters progress logically through means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The prime focus is on applications of the methods, so that worked examples are included and a set of problems conclude each chapter. Note de contenu : Sources and Characteristics of Remote Sensing Image Data John A. Richards Pages 1-29 Correcting and Registering Images John A. Richards Pages 31-85 Interpreting Images John A. Richards Pages 87-106 Radiometric Enhancement of Images John A. Richards Pages 107-134 Geometric Processing and Enhancement: Image Domain Techniques John A. Richards Pages 135-169 Spectral Domain Image Transforms John A. Richards Pages 171-215 Spatial Domain Image Transforms John A. Richards Pages 217-262 Supervised Classification Techniques John A. Richards Pages 263-367 Clustering and Unsupervised Classification John A. Richards Pages 369-401 Feature Reduction John A. Richards Pages 403-446 Image Classification in Practice John A. Richards Pages 447-502 Multisource Image Analysis John A. Richards Pages 503-531 En ligne : https://link.springer.com/book/10.1007/978-3-030-82327-6/cover Remote Sensing Digital Image Analysis [texte imprimé] / John A. Richards, Auteur . - switzerland:Springer, 2022 . - Number of pages XX, 567 ; 24x16cm + Number of illustrations 235 b/w illustrations, 46 illustrations in colour. ISBN : 978-3-030-82326-9 Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data Langues : Anglais (eng) Mots-clés : Remote/Sensing/Digital Image/Analysis Index. décimale : ST/629-05 Résumé : Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data. Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same. As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image analysis in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. The chapters progress logically through means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The prime focus is on applications of the methods, so that worked examples are included and a set of problems conclude each chapter. Note de contenu : Sources and Characteristics of Remote Sensing Image Data John A. Richards Pages 1-29 Correcting and Registering Images John A. Richards Pages 31-85 Interpreting Images John A. Richards Pages 87-106 Radiometric Enhancement of Images John A. Richards Pages 107-134 Geometric Processing and Enhancement: Image Domain Techniques John A. Richards Pages 135-169 Spectral Domain Image Transforms John A. Richards Pages 171-215 Spatial Domain Image Transforms John A. Richards Pages 217-262 Supervised Classification Techniques John A. Richards Pages 263-367 Clustering and Unsupervised Classification John A. Richards Pages 369-401 Feature Reduction John A. Richards Pages 403-446 Image Classification in Practice John A. Richards Pages 447-502 Multisource Image Analysis John A. Richards Pages 503-531 En ligne : https://link.springer.com/book/10.1007/978-3-030-82327-6/cover

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