Detection the Assessment of Environmental Changes from Satellite Image

In this paper, it is intended to detect and extract the changes of the environmental changes from satellite image. Environmental changes has been occurred both by passage of time and by natural disaster, like cyclone Nargis that has recently affected to Myanmar, Tsunami, etc. In present paper, image-processing techniques are applied to both high-resolution satellite images and blur satellite images to extract some of the detectable features in these types of images. Tsunami images as well as Nargis affected image were used for the experiments. Firstly, images of after Tsunami are preprocessed and registered by matching their control points. Both before and after Tsunami images are processed with color segmentation techniques, thresholding and feature extraction for detecting the damage area or the environmental change of regions, thereafter extracting to compute the percentage of changes and fields scenes from satellite images. The main focus of this paper is intended to develop the programming software to detect the environmental changes that could affect the weather condition and that could give the information about the environments by using RGB, HSB, color segmentation and Hidden Markov model. Results of this work could be help scientists to look and study environmental changes that could affect the globe in the future conditions like pollution, global climate change, natural resource management, urban growth, and much more and trend across large geographic areas. keywords: color segmentation, registration, thresholding, feature extraction, change detection.