Change detection from remote sensing images based on fractional integral and improved FLICM

This paper presents a new change detection method based on fractional integral and improved FLICM clustering. Firstly, the log-ratio operator is applied to obtain the difference image from two registered and corrected remote sensing images; and then, the fractional integral operator is introduced to de-nosing and preserve the edge and texture information of the difference image; Finally, the improved FLICM is carried out to get the change areas, which fully considering the pixel neighborhood information and the spatial distance information of the objective function. Experimental results show that the proposed algorithm has strong ability to suppress noise, and can obtain good detection results.