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Research on Gridding Algorithm of Remote Sensing Image Segmentation by Region Growth

Region growth is an important method based on regional information, and its gridding process also is an important problem. This research is satisfied with the needs of the remote sensing massive data real time and fast transmission and processing, and developed of the theory and methods research of remote sensing processing based on grid operation. This paper starts with basic principle and mathematical models of region growth. Then some new serial region growth algorithms proposed in recent years are classified and analyzed, based on which their related gridding strategies are emphatically discussed. Then this research analyze and put forward the algorithm, which should be feasible when designing gridding parallel segmentation, and give an evaluation of the parallel regional segment algorithm. Finally, the problems and challenges of future research were pointed out.