Abstract:

At present, as remote sensing data grows massively, how to carry out fast image classification and information mining in applications and how to improve the business level of manipulation, is an important research direction. Aiming at this problem, we propose an efficient solution. Firstly, based on "fivelayer fifteenlevel" data structure, we segment the image which takes a scene as a unit, then build an image data organization system based on image slices. Secondly, with the help of storage technology of large data, we realize a cluster distributed storage of slices. Thirdly, we utilize the supervised classification algorithms based on pixel and object as the processing algorithm, and make adaptive designs of parallel architecture and drive mechanism in cluster environment  according to computation processing requirements. Finally, we realize the solution and carry out experiments with GF2 multi spectral slicing. The results show that the proposed solution can improve the efficiency of classification processing while maintaining the accuracy.

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