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192篇 您的检索式：作者名="CLAUSI D"

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	题名	作者	年代	出处	被引量
1	A comparison of two 85-GHz SSM/I ice concentration algorithms with AVHRR and ERS-2 SAR imagm'y 显示文摘	Kern S Kaleschke L Clausi D A	2003	IEEE Transactions on Geoscienee and Remote Sensing2003，41，10：	1
2	Evaluating SAR sea ice image segmentation using edge-preserving region-based MRFs显示文摘	Yang X Z Clausi D A	2012	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2012，5，5：	1
3	Modeling Emotional Content of Music Using System Identification显示文摘	Korhonen M D Clausi D A Jernigan M E		0，，3：	1
4	Comparing co-occurrence prohabilities and Markov random fields for texture analysis of SAR ice imagery显示文摘	Clausi D A Yue B	2004	IEEE Transaction on Geoscience and Remote Sensing2004，42，1：	1
5	A fast method to determine co-occurrence texture features显示文摘	CLAUSI D A JERNLGAU M E	1998	IEEE Transactions on Science and Remote Sensing1998，36，1：	1
6	Design-based texture Feature using Gabor filters and co-occurrence probabilities显示文摘	CLAUSI D A and DENG H	2005	IEEE Transactions on Image Processing2005，14，7：	1
7	Comparing Co-Occurrence Probabilities and Markov Random Fields for Texture Analysis of SAR Sea Ice Imagery 显示文摘	CLAUSI D A YUE B	2004	IEEE Transactions on Geoscience and Remote Sensing2004，42，1：	1
8	IRGS:image segmentation using edge penalties and region growing显示文摘	YU Q CLAUSI D	2008	IEEE Transactions on Pattern Analysis and Machine Intelligence2008，30，12：	1
9	Comparison and Fusion of Co-Occurrence,Gabor and MRF Texture for Classification of SAR Sea Ice Imagery 显示文摘	CLAUSI D A	2001	Atmosphere Oceans2001，39，4：	1
10	Designing Gabor filters for optimal texture separability显示文摘	Clausi D Jemigan E	2000	Pattem Recognition2000，，33：	1
11	Preserving boundaries for image texture segmentation using grey level co-occur- ring probabilities 显示文摘	JOBANPUTRA R CLAUSI D A	2006	Pattern Recognition2006，39，2：	1
12	Design-based texture feature fusion using Gabor filters and co-occurrence Probabilities 显示文摘	Clausi D A DENG H	2005	IEEE Transactions on Image Processing2005，14，7：	1
13	Gaussian MRF rotation-invariant fea- tures for intage classification 显示文摘	DEND H W CLAUSI D A	2004	IEEE Transactions on Pattern A- nalysis and Machine Intelligence2004，26，7：	1
14	Design-based texture feature fusion using Gabor filters and probabilities显示文摘	CLAUSI D A DENG H	2005	IEEE Transactions on Image Processing2005，14，7：	1
15	Decoupled active contour ( DAC ) for boundary detection 显示文摘	Mishra A K Fieguth P W Clausi D A	2011	IEEE Transactions on Pattern Analysis and Machine Intelligence2011，33，2：	1
16	Gaussian MRF rotation-invariant features for image classification显示文摘	Deng Huawu D A Clausi	2004	IEEE Transactions on Pattern Analysis and Machine Intelligence2004，26，7：	1
17	K-means Iterative Fisher(KIF)Unsupervised Clustering Algorithm Applied to Image Texture Segmentation显示文摘	CLAUSI D A	2002	Pattern Recognition2002，35，09：	1
18	A fast method to determine co-occurrence texture features显示文摘	CLAUSI D A JERNIGAN M E	1998	IEEE Trans on Geoscience and Remote Sensing1998，36，1：	1
19	K-means Iterative Fisher(KIF)unsupervised clustering algorithm applied to image texture segmentation 显示文摘	Clausi D A	2002	Pattern Recognition2002，35，：	1
20	An analysis of co-occurrence texture statis- tics as a function of grey level quantization显示文摘	CLAUSI D A	2002	Canadian Journal of Remote Sensing2002，28，1：	1

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