Introductory Digital Image Processing: A Remote Sensing Perspective, 4th edition
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Overview
For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology.
Introductory Digital Image Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Pearson Series Geographic Information Science.
Now in full color, the Fourth Edition provides up-to-date information on analytical methods used to analyze digital remote sensing data. Each chapter contains a substantive reference list that can be used by students and scientists as a starting place for their digital image processing project or research. A new appendix provides sources of imagery and other geospatial information.
Published by Pearson (August 1st 2021) - Copyright © 2016
ISBN-13: 9780137551118
Subject: Geography
Category: Remote Sensing
Overview
Brief Contents
- Remote Sensing and Digital Image Processing
- Remote Sensing Data Collection
- Digital Image Processing Hardware and Software
- Image Quality Assessment and Statistical Evaluation
- Display Alternatives and Scientific Visualization
- Electromagnetic Radiation Principles and Radiometric Correction
- Geometric Correction
- Image Enhancement
- Thematic Information Extraction: Pattern Recognition
- Information Extraction Using Artificial Intelligence
- Information Extraction Using Imaging Spectroscopy
- Change Detection
- Remote Sensing–Derived Thematic Map Accuracy Assessment
Appendix: Sources of Imagery and Other Geospatial Information
Index
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