An Overview of fuzzy methods for land cover classification from remote sensing images Improving the quality of remotely sensed derived land cover maps by incorporating mixed pixels in various stages of a supervised classification process Comparison between fuzzy C-means and possibilistic C-mean for sub-pixel classification Approaches to improve the accuracy of neural network classification of images dominated by mixed pixels Estimating and accommodating uncertainty through soft classification of Remote sensing data