Abstract
A relationship between Instantaneous Field of View(IFOV) and spatial spectral variability is clarified. In accordance with improvement of IFOV, spatial spectral variability increased results in decreasing classification accuracy. Meanwhile, ratio of MIXELs which consist of plural classes decreases with improvement of IFOV. In such case, proportion estimation is more important to achieve high classification accuracy. The methods for proportion estimation are overviewed. Several examples are shown, in particular, for the estimation of cloud cover within a pixel and the method for checking a connectivity of road pieces in high resolution of satellite images.
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