Remote sensing, models, and methods for image processing / Robert A. Schowengerdt.
By: Schowengerdt, Robert A
.
Contributor(s): Schowengerdt, Robert A. Techniques for image processing and classification in remote sensing.
Material type:
BookPublisher: San Diego : Academic Press, 1997Edition: 2nd ed.Description: xlv, 522 p. : ill. (some col.) ; 24 cm.ISBN: 0126289816 .Subject(s): Image processing | Remote-sensing imagesDDC classification: 621.367
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| General Lending | MTU Bishopstown Library Lending | 621.367 (Browse shelf(Opens below)) | 1 | Available | 00016195 |
Enhanced descriptions from Syndetics:
Remote sensing is the use of electromagnetic sensors to monitor the earth's surface and atmosphere. This technique can produce anything from topographic or geologic maps to two- or three- dimensional distributions of environmental parameters to the detection of developing hurricanes or floods. These sensors produce digitized data, so it is important that anyone working in remote sensing is familiar with the techniques used. This updated second edition discusses a unified framework and rationale for designing and evaluating image processing algorithms.
Rev. ed. of: Techniques for image processing and classification in remote sensing.
Includes bibliographical references ( p. 483-516) and index.
Table of contents provided by Syndetics
- Chapter 1 The Nature of Remote Sensing
- Chapter 2 Optical Radiation Models
- Chapter 3 Sensor Models
- Chapter 4 Data Models
- Chapter 5 Spectral Transforms
- Chapter 6 Spatial Transforms
- Chapter 7 Correction and Calibration
- Chapter 8 Image Registration and Fusion
- Chapter 9 Thematic Classification
- Appendix A Sensor Acronyms
- Appendix B Function Definitions
- References
- Index