Abstract
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.
Keywords
Perspective (graphical)Remote sensingDigital image processingComputer scienceImage processingGeographyComputer visionComputer graphics (images)Image (mathematics)Artificial intelligenceCartography
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Publication Info
- Year
- 1987
- Type
- article
- Volume
- 2
- Issue
- 1
- Pages
- 65-65
- Citations
- 5038
- Access
- Closed
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Cite This
John R. Jensen,
Kalmesh Lulla
(1987).
Introductory digital image processing: A remote sensing perspective.
Geocarto International
, 2
(1)
, 65-65.
https://doi.org/10.1080/10106048709354084
Identifiers
- DOI
- 10.1080/10106048709354084