Multitemporal SAR images change detection based on joint sparse representation of pair dictionaries

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2012, Pages 6165-6168

  Li, Wei ^a   Chen, Jiayu ^a   Yang, Pei ^a   Sun, Hong ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Change detection; dictionary learning; joint sparse representation; SAR images

Indexed keywords

CHANGE DETECTION; COEFFICIENT MATRIX; DICTIONARY LEARNING; MULTI-TEMPORAL SAR IMAGES; MULTITEMPORAL SYNTHETIC APERTURE RADAR IMAGES; OBJECT-BASED METHODS; SAR DATA; SAR IMAGES; SPARSE REPRESENTATION; TERRASAR-X; UNSUPERVISED CHANGE DETECTION; VERY HIGH RESOLUTION;

GEOLOGY; LEARNING SYSTEMS; REMOTE SENSING; SIGNAL DETECTION;

SYNTHETIC APERTURE RADAR;

EID: 84873104564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6352664     Document Type: Conference Paper

References (8)

1. Y. Bazi, L. Bruzzone, and F. Melgani, "An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images," IEEE Trans. Geosci. Rem. Sens. 43 (4), 874-887, 2005.
2. F. Bovolo, and L. Bruzzone, "A detail-preserving scale-driven approach to change detection in multitemporal SAR images," IEEE Trans. Geosci. Rem. Sens. 43 (12), 2963-2972, 2005.
3. M. Pesaresi, and J. Benediktsson, "A new approach for the morphological segmentation of high-resolution satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 2, pp. 309-320, Feb. 2001.
4. J. Im, J. Jensen, and J. A. Tullis, "Object-based change detection using correlation image analysis and image segmentation," Int. J. Remote Sens., vol. 29, no. 2, pp. 399-423, 2008.
5. L. H. Nguyen, and T. D. Tran, "Sparsity-driven joint image registration and change detection technology for SAR imagery," Proc. ICASSP, pp.2798-2801, 2010.
6. M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation," IEEE Trans on signal processing, vol. 54, no. 1, pp.4311-4322, Nov. 2006.
7. R. Rubinstein, M. Zibulevsky, and M. Elad, "Efficient implementation of the K-SVD algorithm using batch orthogonal matching pursuit," Technical Report -CS Technion, 2008.
8. K. Schulz, E. Cadario, M. Boldt, and A. Thiele, "Improving High-Resolution Repeat Pass SAR Image Interpretation by the CoVAmCoh Method," 8th European Conference on Synthetic Aperture Radar, pp. 1-4, 2010.