GPU Implentation of Recursive Automatic Target Generation Process and Recursive Orthogonal Subspace Projection in Hyperspectral Imagery
2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)(2018)
摘要
Despite of the fact that recursive automatic target generation process (RATGP) and recursive orthogonal subspace projection (ROSP) have played a crucial role in a hyperspectral unmixing field. However, it's hard to process rapidly in terms of the amounts of data in a hyperspectral remote sensing image. With the feature of graphic processing units (GPUs), calculating a large-scale parallel computing, the paper was studied through the method of parallel and optimization to the RATGP and ROSP algorithm. Therefore, we proposed a parallel design method based on matrix operation. The experiment results showed that the mechanism of optimization has been greatly improved the efficiency of the algorithm in a real hyperspectral image under the condition of keeping precision of unmixing results.
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关键词
Hyperspectral imaging,GPUs,Recursive ATGP (RATGP),Recursive OSP (ROSP),Parallel processing
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