£107.88

Elsevier Deep Learning for Synthetic Aperture Radar Remote Sensing

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£108 today · usual range £100–£116 · best ever £100

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£115.78 £98.14 £101.99 £105.84 £109.68 £113.53 £117.38 25 April 2026 06 May 2026 18 May 2026 30 May 2026 11 June 2026

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4 days 32 days · current 12 days 0 8 16 24 32 £100 £108 £116 Days at Price

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Most common price: £108 (32 days, 66.7%)

Price range: £100 - £116

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Description

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. Combines Synthetic Aperture Radar and Machine Learning/Deep Learning, addressing a highly innovative field Covers the complete life-cycle of an SAR image from creation over enhancement to analysis instead of focusing on only one aspect Provides a holistic view of the application of DL to SAR, addressing the unique properties and challenges of SAR

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 December 2025
Listed Since
21 May 2025

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