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Compressive Sensing of Earth Observations (Paperback) Loot Price: R2,117
Discovery Miles 21 170
Compressive Sensing of Earth Observations (Paperback): C.H. Chen

Compressive Sensing of Earth Observations (Paperback)

C.H. Chen

Series: Signal and Image Processing of Earth Observations

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Loot Price R2,117 Discovery Miles 21 170 | Repayment Terms: R198 pm x 12*

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Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year. Written by leading experts in the field Compressive Sensing of Earth Observations provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of CS in detection of human vital signs in a cluttered environment and the corresponding modeling of rib-cage breathing. Readers are also presented with three different applications of CS to the ISAR imaging problem, which includes image reconstruction from compressed data, resolution enhancement, and image reconstruction from incomplete data.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Signal and Image Processing of Earth Observations
Release date: December 2019
First published: 2017
Editors: C.H. Chen
Dimensions: 254 x 178 x 23mm (L x W x T)
Format: Paperback
Pages: 366
ISBN-13: 978-0-367-87886-3
Categories: Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 0-367-87886-0
Barcode: 9780367878863

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