REFERENCES
- Rowe NC, Grewe LL. Change detection for linear features in aerial photographs using edge-finding. IEEE Trans. Geosci. Remote Sens., 2001, 39, 1608–1612.
- Veeravalli VV. Decentralized quickest change detection. IEEE Trans. Inf. Theory, 2001, 47, 1657–1665.
- Qian JP, Li X, Ye JA, Ai B, Chen XY, Wang F. Density-based anomaly detection for short-term land use-land cover change detection using repeat-pass Radar sat images. J. Remote Sens., 2009, 13, 491–498.
- Radke RJ, Andra S, Al-Kofahi O, Roysam B. Image change detection algorithms: a systematic survey. IEEE Trans. Image Process., 2005, 14, 294–307.
- Bruzzone L, Prieto DF. Automatic analysis of the difference image for unsupervised change detection. IEEE Trans. Geosci. Remote Sens., 2000, 38, 1171–1182.
- Bruzzone L. An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images. IEEE Trans. Image Process., 2002, 11, 452–466.
- Sun WB, Tang HY, Chen HX, Yu G. Research of unsupervised image change detection algorithm based on clustering characteristic of 2-D histogram, Proc. Int. Cong. on Signal processing: ICSP’10, Beijing, China, October 2010, Beijing Jiaotong University, Vol. V, pp. 686–689.
- Sun WB, Chen HX, Tang HY, Yu G. Unsupervised image change detection means based on improved 2-D entropy, Proc. Int. Cong. on Image and signal processing: CISP’10, Yantai, China, October 2010, Yan Tai University, pp. 2282–2286.
- Rogerson PA. Change detection thresholds for remotely sensed images. J. Geogr. Syst., 2002, 4, 85–97.
- OTSU. A threshold selection method from gray-level histogram. IEEE Trans. Syst. Man Cybern., 1979, 9, 62–69.
- Sun WB, Chen HX, Tang HY, Wu D. Unsupervised image change detection based on 2-D fuzzy entropy, Proc. Int. Cong. on Computational intelligence and security: CIS ’10, Nanning, China, December 2010, Guangxi Teachers Education University, pp. 248–252.
- Gong SK, Wu TJ. 3D histogram based Fisher criterion function for image segmentation. Electron. Opt. Control, 2005, 12, 35–37.
- Lei M, Han CZ. Expectation-maximization (EM) algorithm based on IMM filtering with adaptive noise covariance. Acta Autom. Sin., 2006, 32, 28–37.
- Sun WB, Zhang JP, Zhang F. An improved OTSU thresholding segmentation algorithm based on spatial information of two-dimensional histogram. J. Harbin Inst. Technol., 2005, 37, 150–153.
- Sun WB, Chen HX, Xue L, Liu QL. Research of unsupervised image change detection algorithm based on clustering characteristic of 2-D histogram, Proc. Int. Cong. on Computer, mechatronics, control and electronic engineering: CMCE ’10, Changchun, China, August 2010, Changchun University of Technology, Vol. V, pp. 341–344.
- Zhang JP, Sun WB, Tang WY. Image change detection algorithm based on clustering characteristic of 2-D histogram, Proc. Int. Geoscience and Remote Sensing Symp.: IGARSS ’06, Denver, CO, USA, July 2006, Institute of Electrical and Electronics Engineers Inc., pp. 767–770.
- Kapur JN, Sahoo PK, Wong AKC. A new method for gray-level picture thresholding using the entropy of the histogram. Comput. Vis. Graph. Image Process., 1985, 29, 273–285.