SAR and MS image fusion based on curvelet transform and activity measure

2011 International Conference on Electric Information and Control Engineering, ICEICE 2011 - Proceedings

Volumn , Issue , 2011, Pages 1680-1683

  Lu, Yaning ^a   Guo, Lei ^a   Li, Huihui ^a   Li, Lei ^b  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b XI'AN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Activity Measure(AM); Curvelet Transform; Multi scale Geometric Analysis(MGA); SAR Image Fusion

Indexed keywords

CURVELET TRANSFORMS; DEGREE OF DISTORTION; DETAIL COEFFICIENTS; DIRECTIONAL INFORMATION; FUSION PRODUCTS; GEOMETRIC ANALYSIS; INVERSE TRANSFORMS; MULTISCALES; SAR IMAGES; SPECTRAL INFORMATION;

IMAGE PROCESSING; WAVELET TRANSFORMS;

IMAGE FUSION;

EID: 79959883033     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEICE.2011.5777893     Document Type: Conference Paper

References (12)

1. C. Pohl and J. L. van Genderen, "Multisensor images fusion in remote sensing: Concepts, methods, and applications," Int.J.Remote Sens.,vol.19, no. 5, pp. 823-854, 1998.
2. Chibani Y. and Houacine A, "Redundant versus orthogonal wavelet decomposition for multisensor image fusion", Pattern Recognition, vol. 36, no. 4, pp.879-887,2003.
3. A. Garzelli. WAVELET-BASED FUSION OF OPTICAL AND SAR IMAGE DATA OVER URBAN AREA[A].Photogrammetric Computer Vision, ISPRS Commission III, Symposium 2002[C].2002,59-62.
4. Yuqin Huang, JingJuan Liao, Huadong Guo, Xuelian Zhong. The Fusion of Multispectral and SAR Images Based Wavelet Transformation Over Urban Area[J]. 0-7803-9050-4/05/$20.00 © 2005 IEEE:3942-3944
5. Candes E J, Demanet L, Donoho D L,et al. "Fast Discrete Curcelet Transforms, Applied and Compurational Mathematics"[M].California: California Institute of Technology,2005.
6. Candes. E. J, Donoho. D. L,"Curvelets-A surprisingly effective nonadaptive representation for objects with edges", Curve and Surface Fitting, Vanderbilt Univ. Press, 1999.
7. Candes. E. J, Donoho. D. L,"New Tight Frames of Curvelets and Optimal Representations of Objects with Smooth Singularities", Technical Report, Stanford University, 2002.
8. Candes. E. J, Demanet. L, Donoho. D. L, Ying L "Fast Discrete Curvelet Transforms". SIAM Multiscale Model. Simul, Vol 3, pp. 861899, 2006
9. WU Fang-ping,DI Hong-wei.A new image fusion algorithm based on curvelet transform[J]. Journal of Optoelectronics.Laser, 2008,19(7):963-966.
10. LI Shu-tao, Research on Methods and Applications of Multi-sensor Image Information Fusion[D],Hunan University,2001.
11. ZHANG Qiang, GUO Bao-long. Fusion of multisensor images based on curvelet transform[J]. Journal of Optoelectronics.Laser, 2006,17(9): 1123-1127.
12. LI Hui-hui, GUO Lei, LIU Kun. Remote sensing image fusion based on curvelet transform[J]. Journal of Optoelectronics.Laser, 2008,19(3):400-403.