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Signal and image processing for remote sensing

Author: C H Chen
Publisher: Boca Raton, FL : CRC Press, ©2012.
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
Summary:
Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Signal processing for remote sensing.
Boca Raton : CRC Press, ©2012
(DLC) 2011050406
(OCoLC)755072462
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: C H Chen
ISBN: 9781439855973 1439855978 1306546524 9781306546522
OCLC Number: 780425858
Description: 1 online resource (603 pages)
Contents: Front Cover; Contents; Preface; Editor; Contributors; Chapter 1: On the Normalized Hilbert Transform and Its Applications to Remote Sensing; Chapter 2. Nyquist Pulse-Based Empirical Mode Decomposition and Its Application to Remote Sensing Problems; Chapter 3. Hydroacoustic Signal Classification Using Support Vector Machines; Chapter 4. Huygens Construction and the Doppler Effect in Remote Detection; Chapter 5: Compressed Remote Sensing; Chapter 6. Context-Dependent Classification; Chapter 7. NMF and NTF for Sea Ice SAR Feature Extraction and Classification; Chapter 8: Relating Time Series of Meteorological and Remote Sensing Indices to Monitor Vegetation Moisture Dynamics; Chapter 9. Use of a Prediction-Error Filter in Merging High- and Low-Resolution Images; Chapter 10. Hyperspectral Microwave Atmospheric Sounding Using Neural Networks; Chapter 11: Satellite Passive Millimeter-Wave Retrieval of Global Precipitation; Chapter 12: On SAR Image Processing: From Focusing to Target Recognition; Chapter 13: Polarimetric SAR Techniques for Remote Sensing of the Ocean Surface; Chapter 14. An ISAR Technique for Refocusing Moving Targets in SAR Images; Chapter 15. Active Learning Methods in Classification of Remote Sensing Images; Chapter 16: Crater Detection Based on Marked Point Processes. Chapter 17: Probability Density Function Estimation for Classification of High-Resolution SAR ImagesChapter 18: Random Forest Classification of Remote Sensing Data; Chapter 19. Sparse Representation for Target Detection and Classification in Hyperspectral Imagery; Chapter 20. Integration of Full and Mixed Pixel Techniques to Obtain Thematic Maps with a Refined Resolution; Chapter 21. Signal Subspace Identification in Hyperspectral Imagery; Chapter 22: Image Classification and Object Detection Using Spatial Contextual Constraints; Chapter 23: Data Fusion for Remote-Sensing Applications; Chapter 24: Image Fusion in Remote Sensing with the Steered Hermite Transform; Chapter 25: Wavelet-Based Multi/Hyperspectral Image Restoration and Fusion; Chapter 26: Land Cover Estimation with Satellite Image Using Neural Network; Chapter 27. Twenty-Five Years of Pansharpening; Back Cover.
Responsibility: [editor] C.H. Chen.

Abstract:

Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both, providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts, this book continues to emphasi.

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Praise for the First Edition ...this book will be useful to advance automated image processing and the integration of remote sensor data with ecosystem and atmospheric models. The unique idea of Read more...

 
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