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[null,"1.","Record Nr.",null,"UNINA9910467582403321"]
[null,null,"Autore",null,"Jón Atli Benediktsson"]
[null,null,"Titolo",null,"Spectral-spatial classififcation of hyperspectral remote sensing images / / Jón Atli Benediktsson, Pedram Ghamisi"]
[null,null,"Pubbl/distr/stampa",null,"Boston : , : Artech House, , 2015"]
[{"$nulls":4},"[Piscataqay, New Jersey] : , : IEEE Xplore, , [2015]"]
[null,null,"ISBN",null,"1-60807-813-2"]
[null,null,"Descrizione fisica",null,"1 online resource (277 pages) : illustrations"]
[null,null,"Collana",null,"Artech House Remote Sensing Library"]
[null,null,"Disciplina",null,"621.36/78"]
[null,null,"Soggetti",null,"Remote sensing"]
[{"$nulls":4},"Multispectral imaging"]
[{"$nulls":4},"Image processing - Digital techniques"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,null,"Sommario/riassunto","This comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspectral classification has been one of the most active and relevant innovative lines of research in remote sensing during recent years.nn This book gives you insight into several important challenges when performing hyperspectral image classification related to the imbalance between high dimensionality and limited availability of training samples, or the presence of mixed pixels in the data. This book also shows you how to integrate spatial and spectral information in order to take advantage of the benefits that both sources of information provide."]