Maitre H [Author], Sun Hong [Translator]. Synthetic Aperture Radar Image Processing. Beijing: Publishing House of Electronics Industry, 2005(Henri Maitre [著], 孙洪[译]. 合成孔径雷达图像处理. 北京: 电子工业出版社, 2005)
[2]
Lee H, Battle A, Raina R, Ng A Y. Efficient sparse coding algorithms. In: Proceedings of the Neural Information Processing Systems. Vancouver, Canada: The MIT Press, 2006. 801-808
[3]
Wang J J, Yang J C, Yu K, Lv F J, Huang T, Gong Y H. Locality-constrained linear coding for image classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. San Francisco, USA: IEEE, 2010. 3360-3367
[4]
Yang J C, Yu K, Gong Y H, Huang T. Linear spatial pyramid matching using sparse coding for image classification. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Miami, USA: IEEE, 2009. 1794-1801
[5]
Shimoni M, Borghys D, Heremans R, Perneel C, Acheroy M. Fusion of PolSAR and PolInSAR data for land cover classification. International Journal of Applied Earth Observation and Geoinformation, 2009, 11(3): 169-180
[6]
Li F F, Perona P. A Bayesian hierarchical model for learning natural scene categories. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington D.C., USA: IEEE, 2005. 524-531
[7]
Lee J S, Grunes M R, Kwok R. Classification of multi-look polarimetric SAR imagery based on complex Wishart distribution. International Journal of Remote Sensing, 1994, 15(11): 2299-2311
[8]
Olshausen B A, Field D J. Sparse coding with an over complete basis set: a strategy employed by V1? Vision Research, 1997, 37(23): 3311-3325
[9]
Aharon M, Elad M, Bruckstein A M. K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Transactions on Signal Processing, 2006, 54(11): 4311-4322
[10]
Bottou L. Online learning and stochastic approximations. Online Learning in Neural Networks. Cambridge: Cambridge University Press, 1998. 9-42
[11]
Lazebnik S, Schmid C, Ponce J. Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington D. C., USA: IEEE, 2006. 2169-2178
[12]
Donoho D L. Compressed sensing. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306
[13]
Candes E J, Tao T. Decoding by linear programming. IEEE Transactions on Information Theory, 2005, 51(12): 4203-4215
[14]
Chang C C, Lin C J. LIBSVM: a library for support vector machines [Online], available: http://www.csie.ntu.edu.tw/~cjlin/libsvm/, February 22, 2011