Frontiers of remote sensing information processing / editor, C.H. Chen.

Format:

Book

Contributor:

Chen, C. H. (Chi-hau), 1937-

Language:

English

Subjects (All):

Image processing.

Knowledge acquisition (Expert systems).

Remote sensing--Data processing.

Remote sensing.

Signal processing.

Physical Description:

1 online resource (629 p.)

Other Title:

Remote sensing information processing

Place of Publication:

Singapore ; River Edge, NJ : World Scientific, c2003.

Language Note:

English

Summary:

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 m

Contents:

Preface; CONTENTS; Introduction; Chapter 1 Remote Sensing Sensors: Capabilities and Information Processing Requirements; Chapter 2 Transform Methods in Remote Sensing Information Processing; Data Mining; Chapter 3 Scene Modeling and Image Mining With A Visual Grammar; Chapter 4 A Shape-Based Approach to Change Detection and Information Mining in Remote Sensing; SAR Image Processing; Chapter 5 A Review of Polarization Orientation Angle Estimation from Polarimetric Sar Data; Chapter 6 Unsupervised Classification of Natural Scenes from Polarimetric Interferometric Sar Data

Wavelet Analysis and ApplicationsChapter 7 Wavelet Analysis of Satellite Images in Ocean Applications; Chapter 8 Wavelet-Based SAR Speckle Filters; Chapter 9 A Wavelet Representation of Multispectral Images; Military Applications of Remote Sensing; Chapter 10 Automating The Estimation of Various Meteorological Parameters Using Satellite Data and Machine Learning Techniques; Microwave Remote Sensing; Chapter 11 Reconstruction and Resolution Enhancement Techniques for Microwave Sensors; Statistical Pattern Recognition

Chapter 12 Advanced Classification Techniques: Partially Supervised ApproachesChapter 13 Nearest Neighbor Decision Rule for Pixel Classification in Remote Sensing; Chapter 14 Unsupervised Segmentation of Hyperspectral Images Using Gauss-Markov Random Fields and PCA; Automatic Target Segmentation; Chapter 15 Multisensor Automatic Target Segmentation; Neural Networks; Chapter 16 Category Classification Using Neural Networks; Chapter 17 Application of Multiresolution Remote Sensing Image Analysis and Neural Techniques to Power Lines Surveillance; Change Detection

Chapter 18 Advances in Unsupervised Change DetectionSeismic Signal Processing; Chapter 19 Remote Detection Using Dual Sensors; Chapter 20 Edge-Preserving Smoothing for Enhancing 3-D Seismic Images; Chapter 21 Imaging Seismic Reflection Data at The Correct Depth Without Specifying An Accurate Velocity Model: Initial Numerical Examples of An Inverse Scattering Subseries; Time Series Prediction; Chapter 22 Seasonality Extraction from Time-Series of Satellite Sensor Data; Image Compression; Chapter 23 Near-Lossless Compression of Remote Sensing Data; Emerging Topics

Chapter 24 Image Enhancement in Ground Penetrating Radar Signal Processing to Detect LandminesChapter 25 Infra-Red Image Processing; Chapter 26 Hyperspectral Imaging Analysis and Applications; Subject Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786611956141

9781281956149

1281956147

9789812796752

9812796754