A frame centre matching approach to registration for change detection with fine spatial resolution multi-temporal imagery

International Journal of Remote Sensing

Volumn 24, Issue 19, 2003, Pages 3873-3879

  Stow, D ^a   Coulter, L ^a   Baer, S ^a  

^a SAN DIEGO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; IMAGE ANALYSIS;

CHANGE DETECTION;

REMOTE SENSING;

AIRBORNE SENSING; DATA PROCESSING; DETECTION METHOD; IMAGE CLASSIFICATION; LAND USE CHANGE; PIXEL; REMOTE SENSING; SPATIAL RESOLUTION;

EID: 0242306843     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/0143116031000152309     Document Type: Article

References (8)

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2. LILLESAND, T. M., and KIEFER, R. W., 1994, Remote Sensing and Image Interpretation, 3rd edn (New York: John Wiley & Sons).
3. LONGMIRE, P., and STOW, D., 2001, Use of very high spatial resolution remotely sensed imagery for assessing land-cover changes in shrub habitat preserves of southern California. Geocarto International, 16, 47-57.
4. SINGH, A., 1989, Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10, 989-1003.
5. STOW, D., 1999, Reducing misregistration effects for pixel-level analysis of land-cover change. International Journal of Remote Sensing, 20, 2477-2483.
6. STOW, D., and CHEN, D., 2002, Sensitivity of multi-temporal NOAA-AVHRR data to land-use/land-cover changes and misregistration in an urbanizing region. Remote Sensing of Environment, 80, 297-307.
7. TOWNSHEND, J. R. G., JUSTICE, C. O., GURNEY, C., and MCMANUS, J., 1992, The impact of misregistration on change detection. IEEE Transactions on Geoscience and Remote Sensing, 30, 1054-1060.
8. WITZTUM, E., and STOW, D., in press, Analyzing direct impacts of recreation activity on coastal sage scrub habitat with very high-resolution multi-spectial imagery. International Journal of Remote Sensing.