| Description |
xxi, 363 pages : illustrations ; 25 cm |
| Contents |
Ch. 1. Sources and Characteristics of Remote Sensing Image Data -- Ch. 2. Error Correction and Registration of Image Data -- Ch. 3. The Interpretation of Digital Image Data -- Ch. 4. Radiometric Enhancement Techniques -- Ch. 5. Geometric Enhancement Using Image Domain Techniques -- Ch. 6. Multispectral Transformations of Image Data -- Ch. 7. Fourier Transformation of Image Data -- Ch. 8. Supervised Classification Techniques -- Ch. 9. Clustering and Unsupervised Classification -- Ch. 10. Feature Reduction -- Ch. 11. Image Classification Methodologies -- Ch. 12. Data Fusion -- Ch. 13. Interpretation of Hyperspectral Image Data -- App. A. Satellite Altitudes and Periods -- App. B. Binary Representation of Decimal Numbers -- App. C. Essential Results from Vector and Matrix Algebra -- App. D. Some Fundamental Material from Probability and Statistics -- App. E. Penalty Function Derivation of the Maximum Likelihood Decision Rule |
| Summary |
The book provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived from remotely retrieved data. Each chapter covers the pros and cons of digital remotely sensed data, without detailed mathematical treatment of computer based algorithms, but in a manner conductive to an understanding of their capabilities and limitations. Problems conclude each chapter |
| Notes |
Previous edition 1993 |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Remote sensing.
|
|
Image processing -- Digital techniques.
|
| Author |
Jia, Xiuping.
|
| LC no. |
98053847 |
| ISBN |
3540648607 alkaline paper |
|
