Signal and Image Processing for Remote Sensing (PDF)
(Sprache: Englisch)
Written by more than 50 world leaders in the field, this book covers major topics in signal and image processing for remote sensing. The second edition features new chapters on compressive sensing, the super-resolution method in the mixed pixel problem with...
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Written by more than 50 world leaders in the field, this book covers major topics in signal and image processing for remote sensing. The second edition features new chapters on compressive sensing, the super-resolution method in the mixed pixel problem with hyperspectral images, sparse representation for target detection and classification in hyperspectral imagery, SAR image processing from autofocusing to change detection, and a critical review of pansharpening. Additional topics new to this edition include non-negative matrix and tensor factorization, ISAR imaging of targets, and applications of the Huang-Hilbert transform. The text presents a unique signal-processing point of view for image processing.
Autoren-Porträt von C. H. Chen
Chi Hau Chen is currently the Chancellor Professor Emeritus of electrical and computer engineering at the University of Massachusetts Dartmouth, where he has taught since 1968. Dr. Chen has published 29 books in his areas of research. He served as associate editor of the IEEE Transactions on Acoustics, Speech and Signal Processing for four years, associate editor of the IEEE Transactions on Geoscience and Remote Sensing for 15 years, and since 2008 has been a board member of Pattern Recognition. Dr. Chen is a Life Fellow of the IEEE, a Fellow of the International Association of Pattern Recognition (IAPR), and a member of Academia NDT International.For more information about Dr. Chen, visit his web page at the University of Massachusetts Dartmouth.
Bibliographische Angaben
- Autor: C. H. Chen
- 2012, 2. Auflage, 619 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1439855978
- ISBN-13: 9781439855973
- Erscheinungsdatum: 22.02.2012
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- Größe: 96 MB
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