|
|
|
INFORMATION PROCESSING FOR REMOTE SENSING
edited by C H Chen (University of Massachusetts, Dartmouth)
This book provides the most comprehensive study of information processing techniques and issues in remote sensing. Topics covered include image and signal processing, pattern recognition and feature extraction for remote sensing, neural networks and wavelet transforms in remote sensing, remote sensing of ocean and coastal environment, SAR image filtering and segmentation, knowledge-based systems, software and hardware issues, data compression, change detection, etc. Emphasis is placed on environmental issues of remote sensing.
With 58 color illustrations.
Contents:
- Pattern Recognition
- SAR Image Processing and Segmentation
-
Parameter Extraction
- Neural Network and Fuzzy Logic Methods
- Change Detection
- Knowledge-Based Method and Data Fusion
- Image Processing Algorithms
- Image Compression
- Intelligent System
- Discrimination of Buried Objects
Readership: Engineers (electrical, computer, civil, mechanical),
computer scientists, statisticians, physicists and earth scientists.
| 580pp |
Pub. date: Dec 1999 |
|
|
