Keeping abreast of new developments, this new edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. It provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees.
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Keeping abreast of new developments, this new edition provides a comprehensive and up-to-date review of the entire field of classification methods applied to remotely sensed data. It provides seven fully revised chapters and two new chapters covering support vector machines (SVM) and decision trees.
Read Less
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Seller's Description:
Very Good++; Hardcover; Close to new condition; Covers are still glossy with "straight" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5Äù Äì 9.75Äù tall); Black covers with title in light green lettering; 2nd Edition; 2009, CRC Press; 376 pages; "Classification Methods for Remotely Sensed Data, Second Edition, " by Paul Mather & Brandt Tso.
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Seller's Description:
Like New. Boards have light surface wear, small inked out sticker inside front board, otherwise boards and pages are Clean and bright! Overall in Great condition! (1.2M-1S)