Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for
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Formato PDF ● Páginas 580 ● ISBN 9781466556935 ● Editor Guangxing (Southern Illinois University at Carbondale, USA) Wang & Qihao (Indiana State University, Terre Haute, USA) Weng ● Editorial CRC Press ● Publicado 2013 ● Descargable 6 veces ● Divisa EUR ● ID 2715391 ● Protección de copia Adobe DRM
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