Incluye bibliografía e índice: páginas 335-340

1. Sources and characteristics of remote sensing image data.. 2. Error correction and registration of image data.. 3. The interpretation of digital image data.. 4. Radiometric enhancement techniques.. 5. Geometric enhancement using image domain techniques.. 6. Multispectral transformations of image data.. 7. Fourier transformation of image data.. 8. Supervised classification techniques.. 9. Clustering and unsupervised classification.. 10. Feature reduction.. 11. Image classification methodologies.. 12. Knowledge-based image analysis.. Subject Index

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This well-established introductory text presents the complete spectrum of acquisition, analysis and processing of remotely sensed image data. It is intended for the postgraduate and senior undergraduate student as well as the practitioner who, although not highly skilled in mathematics, still wishes to understand how algorithms work and how they should be applied. It covers the whole range of image classification techniques commonly used and also techniques in image enhancement necessary for effective photointerpretation of image data. Each chapter contains worked examples which illustrate the operations of the various algorithms covered. This makes it easy to use the book as a teaching text and makes in valuable for self-study. Inglés

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