Introductory digital image processing : a remote sensing perspective
著者
書誌事項
Introductory digital image processing : a remote sensing perspective
（Prentice Hall series in geographic information science）
Pearson Education, c2016
4th ed
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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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