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FRONTIERS OF REMOTE SENSING INFORMATION PROCESSING
edited by C H Chen (University of Massachusetts-Dartmouth & Information Research Laboratory, Inc, USA)
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.
Contents:
- Data Mining
- SAR Image Processing
- Wavelet Analysis and
Applications
- Military Applications of Remote Sensing
- Microwave Remote Sensing
- Statistical Pattern Recognition
- Automatic Target Segmentation
- Neural Networks
- Change Detection
- Seismic Signal Processing
- Time Series Prediction
- Image Compression
- Emerging Topics
Readership: Engineers and scientists dealing with remote sensing data in
particular, and signals and images in general; computer scientists involved in software development on geophysical data analysis.
| 628pp |
Pub. date: Jul 2003 |
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