Introductory Digital Image Processing: A Remote Sensing Perspective / Edition 3

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Overview

Explains how to apply digital image processing techniques to remotely sensed imagery, and how to obtain useful results and information during this process. It assumes a course in introductory remote sensing or air photo interpretation, college algebra, and basic statistics.
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Editorial Reviews

Booknews
A textbook for students of physical, natural, and social sciences interested in the quantitative analysis of remotely sensed data to solve real-world problems. Assumes a background in remote sensing, college-level algebra, and univariate and multivariate statistics. Suitable for a one-semester graduate or undergraduate course. Substantially revised from the 1986 edition to incorporate new technologies and findings. Includes 16 pages of color plates. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

Table of Contents

1. Remote Sensing and Digital Image

2. Remote Sensing Data Collection

3. Digital Image Processing Hardware and Software Considerations

4. Image Quality Assessment and Statistical Evaluation

5. Initial Display Alternatives and Scientific Visualization

6. Electromagnetic Radiation Principles and Radiometric

7. Geometric Correction

8. Image Enhancement

9. Thematic Information Extraction: Pattern Recognition

10. Information Extraction Using Artificial Intelligence

11. Thematic Information Extraction: Hyperspectral Image Analysis

12. Digital Change Detection

13. Thematic Map Accuracy Assessment

Index

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