Detection of changes in remotely-sensed images by the selective use of multi-spectral information

International Journal of Remote Sensing

Volumn 18, Issue 18, 1997, Pages 3883-3888

  Bruzzone, L ^a   Serpico, S B ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; OBJECT RECOGNITION;

REGISTRATION NOISE;

REMOTE SENSING;

ALGORITHM; CHANGE DETECTION; LAND COVER; MULTISPECTRAL IMAGE; REGISTRATION NOISE; REMOTE SENSING;

EID: 0031420167     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311697216702     Document Type: Article

References (7)

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2. Fung, T., 1990, An assessment of TM imagery for land-cover change detection. I.E.E.E. Transactions on Geoscience and Remote Sensing, 28, 681-684.
3. Gong, P., Ledrew, E. F., and Miller, J. R., 1992, Registration-noise reduction in difference images for change detection. International Journal of Remote Sensing, 13, 773-779.
4. Olsson, H., 1993, Regression functions for multitemporal relative calibration of thematic mapper data over boreal forest. Remote Sensing of Environment, 46, 89-102.
5. Richards, J. A., 1993, Remote Sensing Digital Image Analysis, 2nd edn (London: Springer-Verlag).
6. Singh, A., 1989, Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10, 989-1003.
7. Townshend, J. R. G., Justice, C. O., and Gurney, C., 1992, The impact of misregistration on change detection. I.E.E.E. Transactions on Geoscience and Remote Sensing, 30, 1054-1060.