[4] Stone J, Phillips J, Hardy D. Accelerating molecular modeling applications with graphics processors [J]. Journal of Computational Chemistry, 2007, 28(16): 2618-2640.
[11] Harish P, Narayanan P J. Accelerating large graph algorithm on the GPU using CUDA [C]//International Conference on High-Performance Computing. Berlin Heidelberg: Springer, 2007: 197-208.
[12] Du P, Weber R, Luszczek P, et al. From CUDA to Open CL: Towards a performance-portable solution for multi-platform GPU programming [J]. Parallel Computing, 2012, 38(8): 391-407.
[17] Dinguirard M, Slater P N. Calibration of space-multispectral imaging sensors: a review. [J]. Remote Sensing of Environment, 1999, 68(3): 194-205.
[18] Wang J N, Gu X F, Ming T, et al. Classification and gradation rule for remote sensing satellite data products. [J]. Journal of Remote Sensing, 2013, 17(3): 566-577.
[20] Xu L, Zheng S, Jia J Y. Unnatural l0 sparse representation for natural image deblurring [C]//Computer Vision and Pattern Recognition, 2013 IEEE Conference on, 2013: 1107-1114.
[31] Chunyan L, Huanxin Z, Hao S, et al. Combing rough set and RBF neural network for large-scale ship recognition in optical satellite images[J]. Bulletin of Sport Science & Technology, 2014, 17(1): 682-691.
[37] Ashutosh G S, Devakanth N T P,Srinivasan B G K. A GPU based image matching approach for DEM generation using stereo imagery[C]//2011 Nirma University International Conference on Engineering, 2011: 1-5.
[39] Wang M, Fang L Y, Li D, et al. Using multiple GPUs to accelerate MTF compensation and georectification of high-resolution optical satellite images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 10(8): 4952-4972.
