[1] Zhong J S, Jiang N, Hu B et al. A super-resolution model and algorithm of remote sensing image based on sparse representation[J]. Acta Geodaetica et Cartographica Sinica, 43, 276-283(2014).
[2] Cheng X J, Cheng X L, Hu M J et al. Buildings detection and contour extraction by the fusion of aerial images and LIDAR point cloud[J]. Chinese Journal of Lasers, 43, 0514002(2016).
[3] Xu Q[M]. Remote sensing images fusion and resolution enhancement technology, 1-34(2007).
[4] Zhu H, Song W D, Tan H et al. Remote sensing images super resolution reconstruction based on multi-scale detail enhancement[J]. Acta Geodaetica et Cartographica Sinica, 45, 1081-1088(2016).
[5] Zhong J S. Research on super-resolution reconstruction algorithm of optical remote sensing images based on sparse representation[D]. Nanjing: Nanjing Normal University(2013).
[6] Shen H F, Li P X, Zhang L P et al. Overview on super resolution image reconstruction[J]. Optical Technique, 35, 194-199(2009).
[7] Harris J L. Diffraction and resolving power[J]. Journal of the Optical Society of America, 54, 931-933(1964).
[9] Yang C, Yang B, Huang G Y. Remote sensing image fusion based on multispectral image super-resolution[J]. Laser & Optoelectronics Progress, 53, 021001(2016).
[11] Shen H F, Li P X, Zhang L P. Adaptive regularized MAP super-resolution reconstruction method[J]. Geomatics and Information Science of Wuhan University, 31, 949-952(2006).
[13] Freeman W T, Jones T R, Pasztor E C. Example-based super-resolution[J]. IEEE Computer Graphics and Applications, 22, 56-65(2002).
[14] Chang H, Yeung D Y, Xiong Y M. Super-resolution through neighbor embedding[C]. Washington: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognitio, 1, 275-282(2004).
[16] Xiao J S, Liu E Y, Zhu L et al. Improved image super-resolution algorithin based on convolutional neural network[J]. Acta Optica Sinica, 37, 0318011(2017).
[17] Yang M, Dai D X, Shen L L et al. Latent dictionary learning for sparse representation based classification[C]. Columbus: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 527, 4138-4145(2014).
[18] Zeyde R, Elad M, Protter M. On single image scale-up using sparse representations[C]. Avignon: Proceedings of the 7th international conference on Curves and Surfaces, 711-730(2010).
[19] Zhang J, Zhao C, Xiong R Q et al. Image super-resolution via dual-dictionary learning and sparse representation[C]. Seoul: IEEE International Symposium on Circuits and Systems, 1688-1691(2012).
[20] Zhou M Y, Chen H J, Paisley J et al. Non-parametric Bayesian dictionary learning for sparse image representations[C]. Vancouver: International Conference on Neural Information Processing Systems, 2295-2303(2009).
[23] Beal M J. Variational algorithms for approximate Bayesian inference[D]. London: University of London(2003).
[24] Bishop C M. Pattern recognition and machine learning[M]. New York: Springer, 523-556(2006).
[25] Sinha N K, Griscik M P. A stochastic approximation method[J]. IEEE Transactions on Systems Man & Cybernetics, 1, 338-344(2007).