Image Processing Tools for Improved Visualization and Analysis of Remotely Sensed Images for Agriculture and Forest Classifications

This paper suggests Image Processing tools for improved visualization and better analysis of remotely sensed images. There are methods already available in literature for the purpose but the most important challenge among the limitations is lack of robustness. We propose an optimal method for image enhancement of the images using fuzzy based approaches and few optimization tools. The segmentation images subsequently obtained after de-noising will be classified into distinct information and the appropriate conclusions would be drawn with regard to forest, agriculture, environmental effect, and crop assessment etc. The tools and techniques are useful for Scientists, Researchers and Academicians working in the area of remote sensing, weather forecasting, crop assessment etc.