Deep Learning for Synthetic Aperture Radar Remote Sensing

Language: English

Published by Elsevier - Health Sciences Division Okt 2025, 2025

0443363447 / 9780443363443

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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Neuware - Deep Learning for Synthetic Aperture Radar Remote Sensing delves into the transformative synergy between synthetic aperture radar (SAR) and cutting-edge machine learning techniques. Traditionally rooted in signal processing, SAR's active imaging capabilities rise above optical limitations, offering resilience to environmental factors like cloud cover. This book showcases how machine learning augments every stage of SAR image processing, from raw data refinement to advanced information extraction. Through comprehensive coverage of acquisition modes and processing methodologies, including polarimetry and interferometry, this book equips readers with the tools to harness SAR's full potential. Aiming to further enhance remote sensing imaging, it serves as a vital resource for those seeking to integrate SAR data seamlessly into the modern machine learning landscape. Deep Learning for Synthetic Aperture Radar Remote Sensing addresses a critical gap in the intersection of SAR technology and machine learning, offering a pioneering roadmap for researchers and practitioners alike. With its emphasis on modern techniques, it serves as a catalyst for unlocking SAR's untapped potential and shaping the future of Earth observation.…

Seller Inventory # 9780443363443

Title
Deep Learning for Synthetic Aperture Radar Remote Sensing
Author
Ronny Hansch
Publisher
Elsevier - Health Sciences Division Okt 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0443363447
ISBN 13
9780443363443
Item weight
572 grams
Dimensions
231x151x18 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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