Change field: A new change measure for VHR images

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 10, 2014, Pages 1812-1816

  Huo, Leigang ^a,b   Feng, Xiangchu ^a   Huo, Chunlei ^b   Zhou, Zhixin ^c   Pan, Chunhong ^b  

^a XIDIAN UNIVERSITY   (China)

^b INSTITUTE OF AUTOMATION   (China)

^c Beijing Inst Remote Sensing E   (China)

Author keywords

Change detection; change field; progressive transductive classification; very high resolution (VHR) images

Indexed keywords

FEATURE EXTRACTION;

CHANGE DETECTION; CHANGE FIELD; INTER CLASS; VERY HIGH RESOLUTION (VHR) IMAGE; VHR IMAGES;

SIGNAL DETECTION;

EID: 84901375455     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2310202     Document Type: Article

References (19)

1. L. Bruzzone and L. Carlin, "A multilevel context-based system for classification of very high spatial resolution images, " IEEE Trans. Geosci. Remote Sens., vol. 44, no. 9, pp. 2587-2600, Sep. 2006. (Pubitemid 44321552)
2. C. Huo, Z. Zhou, H. Lu, C. Pan et al., "Fast object-level change detection for vhr images, " IEEE Geosci. Remote Sens. Lett., vol. 7, no. 1, pp. 118-122, Jan. 2010.
3. N. Falco, M. D. Mura, F. Bovolo et al., "Change detection in vhr images based on morphological attribute profiles, " IEEE Geosci. Remote Sens. Lett., vol. 10, no. 3, pp. 636-640, May 2013.
4. F. Bovolo and L. Bruzzone, "A theoretical framework for unsupervised change detection based on change vector analysis in polar domain, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 1, pp. 218-236, Jan. 2007. (Pubitemid 46103908)
5. N. Bourdis, D. Marraud, and H. Sahbi, "Constrained optical flow for aerial image change detection, " in Proc. IGARSS, 2011, pp. 4176-4179.
6. M. N. Klaric, B. C. Claywell, G. J. Scott et al., "Geocdx: An automated change detection and exploitation system for high-resolution satellite imagery, " IEEE Trans. Geosci. Remote Sens., vol. 51, no. 4, pp. 2067-2086, Apr. 2013.
7. A. Sundaresan, P. Varshney, and M. Arora, "Robustness of change detection algorithms in the presence of registration errors, " Photogramm. Eng. Remote Sens., vol. 73, no. 4, pp. 375-384, 2007.
8. R. A. Rensink, "Change detection, " Annu. Rev. Psychol., vol. 53, pp. 245-277, 2002.
9. D. G. Lowe, "Distinctive image features from scale-invariant keypoints, " Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
10. E. Tola, V. Lepetit, and P. Fua, "A fast local descriptor for dense matching, " in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2008, pp. 1-8.
11. C. Huo, B. Fan, C. Pan, and Z. Zhou, "Combining local features and progressive support vector machine for urban change detection of vhr images, " AnnalsPRS, vol. I, no. 7, pp. 221-226, 2012.
12. K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 10, pp. 1615-1630, Oct. 2005. (Pubitemid 41555406)
13. S. Winder, G. Hua, and M. Brown, "Picking the best daisy, " in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2009.
14. J. Kim, C. Liu, F. Sha, and K. Grauman, "Deformable spatial pyramid matching for fast dense correspondences, " in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2013.
15. C. Huo, C. Pan, L. Huo, and Z. Zhou, "Multilevel sift matching for large-size vhr image registration, " IEEE Geosci. Remote Sens. Lett., vol. 9, no. 2, pp. 171-175, Mar. 2012.
16. V. Sindhwani and S. S. Keerthi, "Large scale semi-supervised linear svms, " in Proc. ACM SIGIR, 2006, pp. 477-484.
17. Y. Wang, H. Yan, C. Pan, and S. Xiang, "Image editing based on sparse matrix-vector multiplication, " in Proc. IEEE Conf. Acoust., Speech, Signal Process., 2011, pp. 1317-1320.
18. D. M. W. Powers, "Evaluation: From precision, recall and f-measure to roc, informedness, markedness & correlation, " J. Mach. Learn. Technol., vol. 2, no. 1, pp. 37-63, 2011.
19. K. E. A. van de Sande, T. Gevers, and C. G. M. Snoek, "Evaluating color descriptors for object and scene recognition, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 9, pp. 1582-1596, Sep. 2010.