Computer Science ›› 2014, Vol. 41 ›› Issue (12): 275-279.doi: 10.11896/j.issn.1002-137X.2014.12.059
Previous Articles Next Articles
ZHANG Fan,DU Bo,ZHANG Liang-pei and ZHANG Le-fei
| [1] 钟燕飞,张良培,李平湘.基于多值免疫网络的多光谱遥感影像分类[J].计算机学报,2007,30(12):2181-2188 [2] 王兆虎,刘芳,焦李成.一种基于视觉特性的遥感图像分割[J].计算机学报,2005,8(10):1686-1691 [3] Goetz A F H,Vane G,Solomon J E,et al.Imaging spectrometry for earth remote sensing[J].Science,1985(228):1147-1153 [4] Hsu Pai-hui.Feature extraction for hyperspectralimage[C]∥Proceeding of the 20th Asian Conference Remote Sensing.1999:408-410 [5] Yang Zhu-sheng,Guo Lei,Luo Xin.Research on segmentedPCA based on band selection algorithm of hyperspectral image[J].Engineering of Surveying and Mapping,2006,5:15-18 [6] Chavez P S,Berlin G L,Sowers L B.Statistical method for selecting Landsat MSS Ratios[J].Journal of Applied Photogramme-tric Engineering,1982,1:23-30 [7] Samiappan S,Prasad S,Bruce L M.Non-Uniform random feature selection and kernel density scoring with svmbased ensemble classification for hyperspectralimage analysis[J].IEEE Journal of PP Selected Topics in Applied Earth Observations and Remote Sensing,2013(99):1-9 [8] Prasad S,Bruce M.Decision fusion with confidence-based-weight assignment for hyperspectral target recognition[J].IEEE Transactions Geoscience and Remote Sensing,2008,6:1448-1456 [9] Soille P,Pesaresi M.Advances in mathematical morphology applied to geoscience and remote sensing[J].IEEE Transactions Geoscience and Remote Sensing,2002,0(9):2042-2055 [10] Haralick R M,Shanmugam K,Dinstein I.Textural featuresforimage classification[J].IEEE Transactions on Systems,Man,and Cybernetics,1973,SMC-3(6):610-621 [11] Fauvel M,Tarabalka Y,Benediktsson J A,et al.Advances inSpectral-Spatial classification of hyperspectral Images[J].Proceedings of the IEEE PP,2012(99):1-24 [12] Kruizinga P,Petkov N,Grigorescu S E.Comparison of tex-turefeatures based on Gabor filters[C]∥Proc.Int.Conf.Image Anal.Process..1999:142-147 [13] Clausi D A,Deng H.Design-based texture feature fusionusingGabor filters and co-occurrence probabilities[J].IEEE Transactions Image Processing,2005,4(7):925-936 [14] Pesaresi M J,Benediktsson A.A new approach for the morphological segmentation of high-resolution satellite images[J].IEEE Transactions Geoscience and Remote Sensing,2001,39(2):309-320 [15] Fauvel M,Benediktsson J A,Chanussot J,et al.Spectral andspatial classification of hyperspectraldata using svms and morphological profiles[J].IEEE Transactions Geoscience and Remote Sensing,2008,46(11):3804-3814 [16] Hughes G.On the mean accuracy of statistical pattern recogni-zers[J].IEEE Transactions on Information Theory,1968,14(1):55-63 [17] Tuia D,Pacifici F,Kanevski M,et al.Classification of very high spatial resolution imagery using mathematical morphology and support vector machines[J].Geoscience and remote sensing,IEEE Transactions,2009,47(11):3866-3879 [18] Burges C J C.A tutorial on support vector machines for patternrecognition[J].Data Mining and Knowledge Discovery, 1998,2:212-167 [19] Chang C C,Lin C J.LIBSVM:A library for support vector machines.http://www.csie.ntu.edu.tw/~cjlin/libsvm |
| No related articles found! |
|
||
Home