Chronological Advancement in Image Processing from Lime Stone Mofits to Superpixel Classification
Er. Sumit Kaur and R. K. Bansal
DOI : 10.3844/jcssp.2015.1060.1074
Journal of Computer Science
Volume 11, Issue 11
Image processing is widely used method for representation and extraction of information. To get the information from the areas and objects which are not possible to be physically contact directly remote sensing image processing is used. While extracting the information from the remote sensed images the major issues that affect the accuracy of the classification is the presence of mixed pixels (reflecting more than one spectral signature) in image. In this study, we have summarized the various eras of image processing from its origin and also give the various techniques and methods used to solve the problem of mixed pixels. In this study, a new algorithm is proposed to solve the mixed pixel problem by using PSO based Fuzzy C-mean and Biogeographical Based Optimization (BBO). This proposed algorithm will improve the classification of mixed pixels as compared to the literature.
© 2015 Er. Sumit Kaur and R. K. Bansal. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.