Shulph Ink
Signal and Image Processing for Remote Sensing
Signal and Image Processing for Remote Sensing
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- More about Signal and Image Processing for Remote Sensing
Advances in signal and image processing for remote sensing have been tremendous, with machine learning approaches being particularly significant. This third edition of Signal and Image Processing for Remote Sensing emphasizes the use of machine learning approaches for the extraction of remote sensing information, with 19 new chapters written by world leaders in the field. It covers machine learning approaches in both signal and image processing, studies deep learning methods, explains SAR, microwave, seismic, GPR, and hyperspectral sensors, discusses improved pattern classification approaches, and provides ample examples of each aspect of both signal and image processing. It is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.
Format: Hardback
Length: 414 pages
Publication date: 11 June 2024
Publisher: Taylor & Francis Ltd
Advances in signal and image processing for remote sensing have been remarkable in recent years, particularly with the application of machine learning, especially deep learning, to remote sensing problems. This third edition of Signal and Image Processing for Remote Sensing focuses on these advancements and emphasizes the use of machine learning approaches for extracting remote sensing information. It includes 19 new chapters written by world leaders in the field, providing an authoritative examination and a unique point of view on signal and image processing. The book covers machine learning approaches in both signal and image processing for remote sensing, studies deep learning methods for remote sensing information extraction, explains SAR, microwave, seismic, GPR, and hyperspectral sensors, discusses improved pattern classification approaches and compressed sensing approaches, and provides ample examples of each aspect of both signal and image processing. It is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.
Weight: 1054g
Dimension: 181 x 262 x 27 (mm)
ISBN-13: 9781032437415
Edition number: 3 ed
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