An effective technique to detect forest fire region through ANFIS with spatial data

摘要: Recently, spatial data mining plays a vital role because of its pressing need in the real world applications. Among wide range applications nature disaster diagnosis is most imperative and besides other forest fire region through imponderable. Forest fires are an increasing threat to environment both tropical boreal regions world. Hence detection remote sensing images important. In this work, detected three phases, preprocessing phase, training phase phase. Initially filtered unsharp filtering then image converted CIEXYZ color space. Then XYZ spaced segmented anisotropic diffusion technique. After that trained Adaptive Neuro Fuzzy Inference System (ANFIS) test tested ANFIS after completion process consequently detected. identified effective manner.