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基于SWBCT和投影特征的遥感目标识别

Keywords: 多尺度几何分析,Contourlet变模,基于平稳小波的Contourlet变换,投影,遥感目标识别,投影特征,遥感图像,目标识别,FEATURE,PROJECTION,BASED,TARGETRECOGNITION,SENSING,情况,小样本,识别率,分析表,结果,实验,比较,识别方法,代表,小波,近邻分类器,利用

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Abstract:

方向信息提取与小样本问题是遥感目标识别与应用的瓶颈,基于平稳小波的Contourlet变换(StationaryWaveletBasedContourletTransform,简称SWBCT)与投影特征相结合,本文提出了一种新的遥感目标特征提取与识别方法.首先采用改进的Contourlet变换SWBCT对遥感图像进行分解,然后对分解子带进行方向投影并求投影向量的统计特性作为目标特征,进而利用K近邻分类器进行目标识别.与小波、Contourlet等代表性方法进行比较,实验结果与分析表明,该方法不仅具有较高的识别率,而且在小样本情况下,依然可以得到较好的结果.

References

[1]  Mallet S. A Wavelet Tour of Signal Processing [ M ]. New York:Academic Press, 2 Ed. , 1998.
[2]  Candes E. Ridgelets: theory and applications [ D ]. Ph.D. thesis, Department of Statistics, Stanford University, 1998.
[3]  Candes E, Donoho D L. Curvelets-a surprisingly effective nonadaptive representation for objects with edges [ A ]. In Curves and Surface Fitting: Saint-Malo 1999
[4]  Do M N. Vetterli M. Contourlets: a directional multiresolution image representation [ C ]. International Conference on Image Processing, 2002,1,357-360.
[5]  A. Cohen,C. Rabut, L. Schumaker ( eds. ), Saint-Malo Nashville: Vanderbit University Press, Nashville, 2000,105-120.
[6]  Duncan D Y Po, Do M N. Directional multiscale modeling of images using the contourlet transform [ J ]. Statistical Signal Processing, IEEE Workshop on, 2003:262-265.
[7]  Do M N, Vetterli M. The contourlet transform: an efficient directional muhiresolution image representation [ J ]. IEEE Trans. Image on Processing, 2005,14(12) :2091-2106.
[8]  焦李成 谭山.图像的多尺度几何分析:回顾和展望[J].电子学报,:.
[9]  杨淑媛.[D].西安电子科技大学,2005.
[10]  沙宇恒 丛琳 孙强 等.基于Contourlet域HMT模型的多尺度图像分割[J].红外与毫米波学报,2005,24(6):472-476.
[11]  刘静 钟伟才 刘芳 焦李成.组织协同进化分类算法用于雷达目标一维像识别[J].红外与毫米波学报,2004,23(3):208-212.
[12]  张莉 周伟达 等.用于一维图像识别的支撑矢量机方法[J].红外与毫米波学报,:.
[13]  张艳宁 郑江滨 等.一种有效的遥感图像目标识别方法[J].信号处理,2002,18(1):1-4.
[14]  Ying Hu, Biao Hou, Shuang Wang, et al. Texture classification via stationary-wavelet based contourlet transform [J]. IWICPAS, 2006,485-494.
[15]  Do M N, Vetterli M. Framing pyramids [ J ]. IEEE Trans. Signal Proc. , Sep. 2003,51 (9) :2329-2342.
[16]  Park S, Smith M J T, Mersereau R M. A new directional filter bank for image analysis and classification [ J ]. in IEEE proc. ICASSP, Mar. 1999, 3,1417-1420.
[17]  Do M N, Vetterli M. Contourlets. In Beyond Wavelets[M]. Stoeckler J, Welland G V, Eds. New York:Academic Press,2003.
[18]  Lu Y, Do M N. CRISP-contourlets: a critically sampled directional multiresolution image representation[ C ].Proc. of SPIE conference on Wavelet Applications in Signal and Image Processing X, San Diego, USA 2003, 5207:655-665.
[19]  Ramin Eslami, Hayder Radha. Wavelet-based contourlet transform and its application to image coding [ J ]. ICIP, Singapore, 2004,5,3189-3192.
[20]  Chang T, Kuo C C J. Texture analysis and classification with tree-structured wavelet transform [ J ]. IEEE Trans. on Image Processing,1993.2(4) :429-441.

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