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《Computer Engineering and Applications》 2011-07
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Self-adaptive remote sensing image fusion using dual-tree complex wavelet and Curvelet transform

HE Tongdi1,2,LI Jianwei2 1.Department of Mechanic and Electronic,Hexi University,Zhangye,Gansu 734000,China 2.Key Lab of Optoelectronic Technology and System of State Education Ministry,Chongqing University,Chongqing 400030,China  
Curvelet transform overcomes the weakness of wavelet transform in dealing with high-dimensional signals.It provides a flexible multiresolution,local and directional image expansion and a sparse representation for two-dimensional piecewise smooth signal resembling images.It can satisfy the anisotropy scaling relation for curves,and thus offers a fast and structured curvelet-like decomposition.When curverlet transform is applied to image fusion,the characteristic of original images can be effectively extracted and more important information is preserved.Fusion rules are very important in image fusion algorithms.Because the rule of self-adaptive has advantage in choosing coefficients and the wavelet based dual-tree complex wavelet-Curverlet transform is of multi-scale and multi-direction.A method based on the rule of local energy for image fusion using dual-tree complex wavelet based Curverlet transform is proposed.The Curvelet transform is used to perform a multiscale decomposition of Pan and Mul image,the original images are decomposed low-frequency coefficients and high-frequency coefficients.To low-frequency coefficients,self-adaptive regional energy rule is used,to high-frequency coefficients,regional feature self-adaptive fusion rule is used.The result images are generated by reverse Curvelet transform based on the low-frequency coefficients and high-frequency coefficients.The experimental results show that this method is an effective and feasible algorithm.
【Fund】: 国家自然科学基金No.40671133~~
【CateGory Index】: TP751
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Chinese Journal Full-text Database 8 Hits
1 LI Guang-xin,WANG Ke(College of Communications Engineering,Jilin University,Changchun,Jilin 130025,China);Color Image Fusion Algorithm Using the Contourlet Transform[J];Acta Electronica Sinica;2007-01
2 Yu Wenxian;Yong Shaowei;Guo Guirong(Automatic Target Recognition Lab);Comments on Multisensor Information Fusion[J];JOURNAL OF NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY;1994-03
3 ZHANG Qiang,GUO Bao-long(Institute of Intelligent Control and Image Engineering,School of Electromechanical Engineering,Xidian University,Xi'an 710071,China);Fusion of remote sensing images based on the second generation Curvelet transform[J];Optics and Precision Engineering;2007-07
4 Li Huihui Guo Lei Liu Hang(College of Automation,Northwestern Polytechnical University,Xi'an 710072);Research on Image Fusion Based on the Second Generation Curvelet Transform[J];Acta Optica Sinica;2006-05
5 Liu Kun Guo Lei Chang Weiwei(School of Automation,Northwestern Polytechnical University,Xi'an,Shaanxi 710072,China);Regional Feature Self-Adaptive Image Fusion Algorithm Based on Contourlet Transform[J];Acta Optica Sinica;2008-04
6 YE Bao-jun,XU Shi-jin,WU Jun-qi,ZHOU Hui-qun,GAO Lei(Department of earth sciences, Nanjing University, Jiangsu Nanjiing 210093 PRC);Integrated Technique for IKONOS Image Fusion Combining IHS Transformati on and Wavelet Transformation Algorithms[J];Jiangxi Science;2005-02
7 XU Han-qiu ( College of Environment and Resources, Fuzhou University, Fuzhou 350002, China);Study on Data Fusion and Classification of Landsat 7 ETM + Imagery[J];Journal of Remote Sensing;2005-02
8 LI Cun-jun 1),2), LIU Liang-yun 2), WANG Ji-hua 2), WANG Ren-chao 1) 1)(Zhejiang University, Institute of Agriculture Remote Sensing and Information Application, Hangzhou 310029) 2)(National Engineering Research Center for Information Technology in Agriculture, Beijing 100089);Comparison of Two Methods of Fusing Remote Sensing Images with Fidelity of Spectral Information[J];Journal of Image and Graphics;2004-11
Chinese Journal Full-text Database 10 Hits
1 ZHANG Hai-xia et al (School of Environment and Mapping,China University of Mining & Technology,Xuzhou,Jiangsu 221008);Study on the Accuracy of Land Cover Classification of ETM+ Remote Sensing Image Fusion Method[J];Journal of Anhui Agricultural Sciences;2008-01
2 LIU Guo-guang(Dept. of Machine & Power, Huangshi Institute of Technology, Huangshi 435003, China);Self-Adaptive System for Grinding Parameter Based on SVM[J];Ordnance Industry Automation;2005-01
3 MAO Shi yi ZHAO Wei (Beijing University of Aeronautics and Astronautics, Dept. of Electronic Engineering);Comments on Multisensor Image Fusion Techniques[J];Journal of Beijing University of Aeronautics and Astronautics;2002-05
4 CHEN Wen jie, DOU Li hua, CHEN Jie, DU Li hui (Dept. of Automatic Control, Beijing Institute of Technology, Beijing100081, China);A New Pattern Recognition Method Based on the Fusionof Multiple Feature Information[J];Journal of Beijing Institute of Technology;2002-02
5 YANG Xiao-hui, Li Deng-feng (Institute of Applied Mathematics, School of Mathematics and Information Sciences, He'nan University, Kaifeng He'nan 475004,China);Multisensor Image Fusion Using Fast LHS Based on Curvelet Multiresolution Geometric Decomposition[J];Chinese Journal of Sensors and Actuators;2009-04
6 CHEN Xue-tang,ZHANG Yuan,YANG Kun-ping,CHEN De-min(College of Inforfation Science and Engineering,Henan University of Technology,Zhengzhou 450001,China);Testing-image enhancement based on Ⅱ Curvelet algorithm[J];Transducer and Microsystem Technologies;2008-12
7 Zhang YanduoJiang Xingwei (Department of Astronautics Engineering & Mechanics, Harbin Institute of Technology,Harbin 150001;Multi-Sensor Information Fusion Technique and Its Application on Intelligent Fault Diagnosis System[J];JOURNAL OF TRANSDUCER TECHNOLOGY;1999-03
8 ;Multi-sensor Information Fusion Based on an OOP Artificial Immune Model[J];Sensor World;2002-04
9 ;Comparison between Two multisensor Information Fusion methods[J];Sensor World;2002-11
10 ZHANG Qing-he1,ZOU Zheng-rong1,YU Jia-yong1,2(1.School of Info-Physicand Geomatics Engineering,Central South University,Changsha 410083,China;2.College of Civil Engineering,Hunan University,Changsha 410082,China);Research on the fixel fusion methed of remote sensing image[J];Engineering of Surveying and Mapping;2008-04
China Proceedings of conference Full-text Database 5 Hits
1 ;BP neural network usedin classfication of land cover[A];[C];2007
2 He Kefeng; Gao Jun; Hu Liangmei; Lu Lu (Lab. of Image Information Processing, School of Computer and Information, Hefei University of Technology,Hefei 230009,China)(Institute of Intelligent Machines, Chinese Academy of Sciences,Hefei 230031,China);A Method of Fusion Recognition Based on PCA[A];[C];2004
3 Tian Jie, Chen Jie Department of Automatic Control, Beijing Institute of Technology, 100081;Performance Evaluation of Multisensor Data Fusion Systems[A];[C];2001
4 Zhao Minzhi Li Gang Zhang Renbin (School of Computer and Information Hefei University of Technology Hefei 230009 China);Comments on Image Fusion Techniques[A];[C];2008
5 ZHAO Feng-wen,FENG Fu-zhou,DAI Yao,SI Ai-wei (Department of Mechanical Engineering,Academy of Armored Force Engineering,Beijing 100072,China);Research on Fault Diagnosis of Gearbox Based on Information Fusion[A];[C];2010
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Jiang Xiaoyu Gao Zhiyun Zhou Liwei(Department of Optical Engineering,Beijing Institute of Technology,Beijing 100081));Multi-Sensor Image Fusion Based on False Color[J];JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY;1997-05
2 XIONG Xing-hua1,QIAN Zeng-bo2,WANG Ren-xiang1 (1. Xi'an Research Institute of Surveying & Mapping, Xi'an 710054,China;2.Institute of Surveying and Mapping, Information Engineering University of PLA, Zhengzhou 450052,China);A Remote Sensing Image Subpixel Matching Combined Genetic Algorithm with Least Square Matching[J];Acta Geodaetica Et Cartographic Sinica;2001-01
3 YANG Xuan,LIANG Ji min,YANG Wan hai,PEI Ji hong (School of Electronics and Engineering ,Xidian University ,Xi'an,Shanxi 710071,China);Fusion Multispectral and High Resolution Image Using Evolutionary Strategies and IHS Transform[J];Acta Electronica Sinica;2001-10
4 ZHAO Wei,MAO Shi-yi (Faculty 203,Beijing University of Aeronautics and Astronautics,Beijing 100083,China);A Pixel-Level Multisensor Image Fusion Algorithm Based on False Color[J];Acta Electronica Sinica;2003-03
5 JIAO Li-cheng,TAN Shan (National Key Lab for Radar Signal Processing and Institute of Intelligent Information Processing,Xidian University,Xi'an,Shaanxi 710071,China);Development and Prospect of Image Multiscale Geometric Analysis[J];Acta Electronica Sinica;2003-S1
6 LIANG Dong,SHEN Min,GAO Qing-wei,BAO Wen-xia,QU Lei(1.Educational Department Key Lab.of IC&SP,Anhui University,Hefei,Anhui 230039,China;2.School of Electronic Science and Technology,Anhui University,Hefei,Anhui 230039,China);A Method for Image De-noising Based on the Contourlet Transform Using Recursive Cycle Spinning[J];Acta Electronica Sinica;2005-11
7 LIU Gui-xi, ZHAO Shu-guang, YANG Wan-hai (School of Electronic Engineering,Xidian University,Xian 710071,China);Multi-sensor Image Fusion Scheme Based on Gradient Pyramid Decomposition[J];Journal of Optoelectronics.laser;2001-03
8 ZHANG Qiang~(),GUO Bao-long(ICIE Institute,School of Electromechanical Engineering,Xidian University,Xi'an 710071,China);Fusion of Multisensor Images Based on the Curvelet Transform[J];Journal of Optoelectronics.laser;2006-09
9 Yu Wenxian;Yong Shaowei;Guo Guirong(Automatic Target Recognition Lab);Comments on Multisensor Information Fusion[J];JOURNAL OF NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY;1994-03
10 Li Kelu (Academy of Urban Planning and Design, Beijing 100037) Wang Xia (Beijing Research Institute of Uranium Geology, Beijing 100029) Guo Minru (Beijing Chemical Industry University 100029);INFORMATION FUSION METHOD OF WAVELET TRANSFORMATION AND EVALUATION[J];REMOTE SENSING FOR LAND & RESOURCES;1999-04
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