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ISBN 10: 0367518988 ISBN 13: 9780367518981
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Published by Taylor & Francis Group, 2022
ISBN 10: 0367518988 ISBN 13: 9780367518981
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Published by SPIE PRESS-The International Society for Optical Engineering, Bellingham, WA, U.S.A., 1996
ISBN 10: 0819423599 ISBN 13: 9780819423597
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Published by CRC Press 2022-01-16, 2022
ISBN 10: 0367518988 ISBN 13: 9780367518981
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Published by Taylor & Francis Group, 2015
ISBN 10: 1466587490 ISBN 13: 9781466587496
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Condition: New. Prof. C.H. Chen received his Ph. D in electrical engineering from Purdue University West Lafayette, Indiana, in 1965, his MSEE from the University of Tennessee, Knoxville, in 1962, and his BSEE from the National Taiwan University, Taipei in 1959. He is c.
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Published by Taylor & Francis Group, 2020
ISBN 10: 0367858487 ISBN 13: 9780367858483
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Published by Taylor & Francis Group, 2020
ISBN 10: 0367858487 ISBN 13: 9780367858483
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ISBN 10: 1032465093 ISBN 13: 9781032465098
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Taschenbuch. Condition: Neu. Neuware - Advances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing.Features - Includes all new content and does not replace the previous edition - Covers machine learning approaches in both signal and image processing for remote sensing - Studies deep learning methods for remote sensing information extraction that is found in other books - Explains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors considered - Discusses improved pattern classification approaches and compressed sensing approaches - Provides ample examples of each aspect of both signal and image processing This book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.
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