Introductory digital image processing : a remote sensing perspective


Introductory digital image processing : a remote sensing perspective

John R. Jensen

(Prentice Hall series in geographic information science)

Pearson Education, c2016

4th ed

大学図書館所蔵 件 / 4



Includes bibliographical references and index



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.


1. Remote Sensing and Digital Image Processing2. Remote Sensing Data Collection 3. Digital Image Processing Hardware and Software 4. Image Quality Assessment and Statistical Evaluation 5. Display Alternatives and Scientific Visualization 6. Electromagnetic Radiation Principles and Radiometric Correction 7. Geometric Correction 8. Image Enhancement 9. Thematic Information Extraction: Pattern Recognition 10. Information Extraction Using Artificial Intelligence 11. Information Extraction Using Imaging Spectroscopy 12. Change Detection 13. Remote Sensing-Derived Thematic Map Accuracy Assessment Appendix: Sources of Imagery and Other Geospatial Information Index

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