Journal of Infrared and Millimeter Waves, Volume. 26, Issue 4, 297(2007)
HIGH-RATIO COMPRESSION OF REMOTE SENSING IMAGE BASED ON RIDGELET AND NEURAL NETWORK
[2] [2] Mougeot M,Azencott R,Angeniol B.Image compression with back propagation:improve of the visual restoration using different cost functions[J].Neural Networks,1991,4(4):467-476.
[3] [3] Daugman J.Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression[J].IEEE Trans.Acoust,Speech,Signal Proc,1998,36(7):1169 1179.
[4] [4] Abdel O,Wahhab,Fahmy M M,Image compression using multilayer neural networks[J].IEEE proc.Vis Signal Processing,1997,144(5):307-312.
[5] [5] Krishnamurthy A K,Ahalt S C,Melton D E,et al.Neural networks forvector quantization of speech and images[J].IEEE J.on Selected Areas in Communications,1990,8(8):1449-1457.
[7] [7] Cand(e)s E J.Ridgelet:theory and applications[D].Ph.D.dissertation.Stanford Univ,1998.
[8] [8] Minh N Do,Martin Vetterli.The finite ridgelet transform for image representation[J].IEEE Transactions on Image Processing,2003,12(1):16-28.
[9] [9] Yang Shuyuan,Wang Min,Jiao Licheng.Compression of remote sensing images based on ridgelet and neural network[C].Lecture Notes in Computer Science,Springer-Verlag,2005,3497:723-730.
[10] [10] Zhang Q,benveniste A.Wavelet network[J].IEEE Trans on Neural network,1992,3(6):889-898.
Get Citation
Copy Citation Text
[in Chinese], [in Chinese], [in Chinese]. HIGH-RATIO COMPRESSION OF REMOTE SENSING IMAGE BASED ON RIDGELET AND NEURAL NETWORK[J]. Journal of Infrared and Millimeter Waves, 2007, 26(4): 297