Frontiers of Remote Sensing Information Processing

By: Chi Hau Chen (Editor)

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Hardcover | 1 December 2002

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Hardcover
628 Pages

Dimensions(cm)
26.04 x 17.78 x 3.18

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Written by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination.In summary, the book provides an authoritative treatment of major topics in remote sensing information processing and defines new frontiers for these areas.

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Non-Fiction Computing & I.T.Computer Science Earth Sciences, Geography, Environment, Planning Geography Geographical Information Systems GIS & Remote Sensing Earth Sciences Geology & The Lithosphere Computer Programming & Software Development Algorithms & Data Structures Booktopia Publisher Services World Scientific Publishing

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Preface
Remote Sensing Sensors: Capabilities and Information Processing Requirements	p. 3
Transform Methods in Remote Sensing Information Processing	p. 23
Scene Modeling and Image Mining With A Visual Grammar	p. 35
A Shape-Based Approach to Change Detection and Information Mining in Remote Sensing	p. 63
A Review of Polarization Orientation Angle Estimation from Polarimetric Sar Data	p. 89
Unsupervised Classification of Natural Scenes from Polarimetric Interferometric Sar Data	p. 105
Wavelet Analysis of Satellite Images in Ocean Applications	p. 141
Wavelet-Based SAR Speckle Filters	p. 163
A Wavelet Representation of Multispectral Images	p. 197
Automating The Estimation of Various Meteorological Parameters Using Satellite Data and Machine Learning Techniques	p. 227
Reconstruction and Resolution Enhancement Techniques for Microwave Sensors	p. 255
Advanced Classification Techniques: Partially Supervised Approaches	p. 285
Nearest Neighbor Decision Rule for Pixel Classification in Remote Sensing	p. 315
Unsupervised Segmentation of Hyperspectral Images Using Gauss-Markov Random Fields and PCA	p. 329
Multisensor Automatic Target Segmentation	p. 349
Category Classification Using Neural Networks	p. 365
Application of Multiresolution Remote Sensing Image Analysis and Neural Techniques to Power Lines Surveillance	p. 383
Advances in Unsupervised Change Detection	p. 405
Remote Detection Using Dual Sensors	p. 429
Edge-Preserving Smoothing for Enhancing 3-D Seismic Images	p. 455
Imaging Seismic Reflection Data at The Correct Depth Without Specifying An Accurate Velocity Model: Initial Numerical Examples of An Inverse Scattering Subseries	p. 469
Seasonality Extraction from Time-Series of Satellite Sensor Data	p. 487
Near-Lossless Compression of Remote Sensing Data	p. 503
Image Enhancement in Ground Penetrating Radar Signal Processing to Detect Landmines	p. 535
Infra-Red Image Processing	p. 555
Hyperspectral Imaging Analysis and Applications	p. 595
Table of Contents provided by Blackwell. All Rights Reserved.

Frontiers of Remote Sensing Information Processing

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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