Forest Fire Detection Using Texture Analysis

Forest fires are a chief environmental concern, causing economical and ecological damage. The application of remote sensing is at present a significant method for forest fires monitoring, particularly in vast and remote areas. Different methods have been presented by the researchers for finding forest types and fire detection. In this study, we propose polygon segmentation for adaptive regional forest fire detection. First in order to detect the type of forest, identify forest and non forest area using polygon segmentation algorithm. Next XYZ color space conversion is performed in polygons to find fire pixel. To do so, a collection of distributed autonomous agents will operate at the forest polygon pixels of the image and identifies the fire regions. The proposed technique is in real time, given the exigencies of forest fires. Keywords—-Autonomous Agents, Forest Fire, Polygon Segmentation, Remote Sensing Image, XYZ Color Space.