Image Processing for Remote Sensing

Front Cover
C.H. Chen
CRC Press, Oct 17, 2007 - Technology & Engineering - 400 pages
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Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for improved classification with the remote sensing data, Wiener filter-based method, and other modern approaches and methods of image processing for remotely sensed data.

Each chapter explores a technique for dealing with a specific remote sensing problem. The book offers physical insights on the steps for constructing various digital seismic images. The volume examines image modeling, statistical image classifiers, change detection, independent component analysis, vertex component analysis, image fusion for better classification. It explores unique topics such as accuracy assessment and information-theoretic measure of multiband images and many chapters emphasize issues with synthetic aperture radar (SAR) images.

Continued development on imaging sensors creates new opportunities and challenges in image processing for remote sensing. Image Processing for Remote Sensing not only presents the most up to date developments of image processing for remote sensing but also suggests to readers the many challenging problems ahead for further study.

 

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Contents

Polarimetric SAR Techniques for Remote Sensing of the Ocean Surface
1
MRFBased RemoteSensing Image Classification with Automatic Model Parameter Estimation
39
Random Forest Classification of Remote Sensing Data
61
Supervised Image Classification of MultiSpectral Images Based on Statistical Machine Learning
79
Unsupervised Change Detection in MultiTemporal SAR Images
107
ChangeDetection Methods for Location of Mines in SAR Imagery
135
Vertex Component Analysis A GeometricBased Approach to Unmix Hyperspectral Data
149
Two ICA Approaches for SAR Image Enhancement
175
Spatial Techniques for Image Classification
225
Data Fusion for RemoteSensing Applications
249
The Hermite Transform An Efficient Tool for Noise Reduction and Image Fusion in RemoteSensing
273
MultiSensor Approach to Automated Classification of Sea Ice Image Data
293
Use of the BradleyTerry Model to Assess Uncertainty in an Error Matrix from a Hierarchical Segmentation of an ASTER Image
325
SAR Image Classification by Support Vector Machine
341
Quality Assessment of RemoteSensing MultiBand Optical Images
355
Index
377

LongRange Dependence Models for the Analysis and Discrimination of SeaSurface Anomalies in Sea SAR Imagery
189

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