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The impact of misregistration on change detection
- Source :
- IEEE Transactions on Geoscience and Remote Sensing. 30(5)
- Publication Year :
- 1992
- Publisher :
- United States: NASA Center for Aerospace Information (CASI), 1992.
-
Abstract
- The impact of images misregistration on the detection of changes in land cover was studied using spatially degraded Landsat MSS images. Emphasis is placed on simulated images of the Normalized Difference Vegetation Index (NDVI) at spatial resolutions of 250 and 500 m. It is pointed out that there is the need to achieve high values of registration accuracy. The evidence from simulations suggests that misregistrations can have a marked effect on the ability of remotely sensed data to detect changes in land cover. Even subpixel misregistrations can have a major impact, and the most marked proportional changes will tend to occur at the finest misregistrations.
- Subjects :
- Earth Resources And Remote Sensing
Subjects
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 30
- Issue :
- 5
- Database :
- NASA Technical Reports
- Journal :
- IEEE Transactions on Geoscience and Remote Sensing
- Notes :
- NAG5-942
- Publication Type :
- Report
- Accession number :
- edsnas.19930035733
- Document Type :
- Report
- Full Text :
- https://doi.org/10.1109/36.175340