[1] D G Lowe. Object recognition from local scale-invariant features [C]. Proceedings of the International Conference on Computer, ICCV, 1999, 2: 1150-1157.

[2] D G Lowe. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision, 2004, 60(2): 91-110.

[3] K Mikolajczyk, C Schmid. A performance evaluation of local descriptors [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(10): 1615-1630.

[4] Y Ke, R Sukthankar. PCA-SIFT: A more distinctive representation for local image descriptors [C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004, 2: 506-513.

[5] A E A Hakim, A A Farag. CSIFT : A SIFT descriptor with color invariant characteristics [C] . IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006, 2: 1978-1983.

[6] H Bay, T Tuytelaars, L V Gool. SURF: speeded up robust features [C]. Proceedings of the ninth European Conference on Computer Vision, 2006. 404-417.

[7] G S Yu, J M Morel. ASIFT: a new framework for fully affine invariant image comparison [J]. SIAM Journal on Imaging Sciences, 2009, 2(2): 438-460.

[8] Haihua Cui, Wenhe Liao, Ning Dai, et al.. Registration and integration algorithm in structured light three-dimensional scanning based on scale-invariant feature matching of multi-source images [J]. Chin Opt Lett, 2012, 10(9): 091001.

[9] 王民, 刘伟光. 基于改进SIFT特征的双目图像匹配算法[J]. 计算机工程与应用, 2013, 49(2): 203-206.

    Wang Min, Liu Weiguang. Advanced algorithm based on SIFT and its application in binocular stereo vision [J]. Computer Engineering and Applications, 2013, 49(2): 203-206.

[10] E Candès, J Romberg, Terence Tao. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information [J]. IEEE Trans Information Theory, 2006, 52(2): 489-509.

[11] D Donoho. Compressed sensing [J]. IEEE Trans Information Theory, 2006, 52(4): 1289-306.

[12] 方红, 章权兵, 韦穗. 基于非常稀疏随机投影的图像重建方法[J]. 计算机工程与应用, 2007, 43(22): 25-27.

    Fang Hong, Zhang Quanbing, Wei sui. Method of image reconstruction based on very sparse random projection [J]. Computer Engineering and Applications, 2007, 43(22): 25-27.

[13] 马彦鹏, 王亚南, 王义坤, 等. 基于压缩感知的单点探测计算成像技术研究[J]. 光学学报, 2013, 33(12): 1211007.

    Ma Yanpeng, Wang Yanan, Wang Yikun, et al.. Study of single-pixel detection computational imaging technology based on compressive sensing [J]. Acta Optica Sinica, 2013, 33(12): 1211007.

[14] M Rostami, O Michailovich, Z Wang. Image deblurring using derivative compressed sensing for optical imaging application [J]. IEEE Transactions on Image Processing, 2012, 21(7): 3139-3149.

[15] 王金成, 匡翠方, 王轶凡, 等. 基于压缩感知的荧光显微多光谱成像[J]. 中国激光, 2013, 40(12): 1204003.

    Wang Jincheng, Kuang Cuifang, Wang Yifan, et al.. Multispectral fluorescence microscopic imaging based on compressive sensing [J]. Chinese J Lasers, 2013, 40(12): 1204003.

[16] S T Li, H T Yin, L Y Fang. Remote sensing image fusion via sparse representations over learned dictionaries [J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(9): 4779-478.

[17] 尹雯, 李元祥, 周则明, 等. 基于稀疏表示的遥感图像融合方法[J]. 光学学报, 2013, 33(4): 0428003.

    Yin Wen, Li Yuanxiang, Zhou Zeming, et al.. Remote sensing image fusion based on sparse representation [J]. Acta Optica Sinica, 2013, 33(4): 0428003.

[18] 徐伟, 冷成财, 于乃功, 等. 基于小波变换的等价图割SAR图像配准方法[J]. 纳米技术与精密工程, 2013, 11(1): 14-19.

    Xu Wei, Leng Chengcai, Yu Naigong, et al.. An equivalence graph cut method based on wavelet transform for SAR image registration [J]. Nanotechnology and Precision Engineering, 2013, 11(1): 14-19.