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Digital Image Processing of Remotely Sensed Data presents a practical approach to digital image processing of remotely sensed data, with emphasis on application examples and algorithms. It explains where to get the data and what is available and what preprocessing is needed to prepare the imagery for processing. Research topics are described to indicate the limitations of computer methods.
This book is comprised of seven chapters and begins with a summary of basic concepts used in remote sensing and digital imagery, followed by a discussion on sources of remotely sensed data. Two essential hardware ingredients in a digital image processing system, a computer and a display device, are then considered, along with the algorithms used in digital image processing. Examples of how digital image processing algorithms have been applied to real imagery for specific objectives are given, including the Kentucky water impoundment experiment and the land-use mapping initiative in Washington, D.C. The next section is devoted to research topics such as digital image shape detection; edge detection and regionalized terrain classification from satellite photography; and digital image enhancement for maximum interpretability using linear programming.
This monograph will be of value to professional regional planners, natural resource managers, and others in fields ranging from hydrology and forestry to agronomy and geology.
1 Summary of Basic Concepts
2 Data Sources
Imagery Available in Digital Format
Digitizing from Film
3 Computer Processing
Multiple Image Operations
Edge and Line Detection
5 Application Examples
Kentucky Water Impoundment Survey
Digital LANDSAT Processing to Assess New York Bight Acid Dump
New Orleans Hydrology
Digital Processing of Satellite Imagery for Geothermal Prospecting
Washington, D.C. Land-Use Mapping
Crop Acreage Estimation
High Tide-Low Tide
6 Research Topics
Digital Image Shape Detection
Enhancing Digital Images for Maximum Interpretability Using Linear Programming
Edge Detection and Regionalized Terrain Classification from Satellite Photography
7 Practical Issues
Courses and Applications Assistance
Image Processing and Interpretation Services
Appendix: Fourier Transform FORTRAN Subroutine Listing
- No. of pages:
- © Academic Press 1982
- 28th December 1982
- Academic Press
- eBook ISBN: