To quote a well-known, if now rather dated, review article on change detection (Singh, 1989),
The basic premise in using remote sensing data for change detection is that changes in land cover must result in changes in radiance values … [which] must be large with respect to radiance changes from other factors.
When comparing multispectral images of a given scene taken at different times, it is therefore desirable to correct the pixel intensities as much as possible for uninteresting differences such as those due to solar illumination, atmospheric conditions, viewing angle, terrain effects or sensor calibration. In the case of SAR imagery, solar illumination or cloud cover plays no role, but other considerations are similarly ...
Get Image Analysis, Classification and Change Detection in Remote Sensing, 4th Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
