References
- Bruzzone, L., D. F. Prieto, and S. B. Serpico, 2000. A neural-statistical approach to multitemporal and multisource remote-sensing image classification, IEEE Trans. Geosci. Remote Sensing, 37:1350-1359
- Bruzzone, L. and D. F. Prieto, 2000. Automatic analysis of the difference image for unsupervised change detection, IEEE Trans. Geosci. Remote Sensing, 38: 1171-1182 https://doi.org/10.1109/36.843009
- Bruzzone, L. and D. F. Prieto, 2002. An adaptive semiparametric and context based approach to unsupervised change detection in multitemporal remote sensing images, IEEE Trans. Image Processing, 11: 452-466 https://doi.org/10.1109/TIP.2002.999678
- Chavez, P. S. and D. J. MacKinnon, 1994. Automatic detection of vegetation changes in the Southwestern United States using remotely sensed images, Photogramm. Eng. Remote Sens., 60(5): 571-583
- Dai, X. and S. Khorram, 1998. The effects of image misregistration on the accuracy of remotely sensed change detection, IEEE Trans. Geosci. Remote Sensing, 61(3): 313-320
- Gong, P., E. F. LeDrew, and J. R. Miller, 1992. Registration-noise reduction in difference images for change detection, Int. J. Remote Sens., 13(4): 773-779 https://doi.org/10.1080/01431169208904151
- Gong, P., 1993. Change detection using principal component analysis and fuzzy set theory, Can. J. Remote Sens., 19(1): 22-29
- Jensen, J. R., 1981, Urban Change detection mapping using Landsat digital data, Amer. Cartograph.,8:127-147
- Kalayeh, H. M. and D. A. Landgrebe, 1986. Utilizing multitemporal data by a stochastic model, IEEE Trans. Geosci. Remote Sensing, 24:792-795 https://doi.org/10.1109/TGRS.1986.289628
- Kittler, J.and J.Foglein, 1984. Contextual classification of multispectral data, Image Vis. Comput., 2:13-29
- Lim, Y. J., H. G. Kim, and K. O. Kim, 2003. Implementation of an Enhanced Change Detection System based on OGC Grid Coverage Specification, Proc. ACRSand ISRS, 1:449-451
- Melgani, F. and S. B. Serpico, 2003. A Markov random field approach to spatio-temporal contextual image classification, IEEE Trans. Geosci. Remote Sensing, 41(11): 2478-2487 https://doi.org/10.1109/TGRS.2003.817269
- Rensink, R. A, 2002. Change Detection, Annu. Rev. Psychol., 53:245-277 https://doi.org/10.1146/annurev.psych.53.100901.135125
- Sachs, D. L., P. Sollins, and W. B. Cohen, 1998. Detecting landscape changes in the interior of British Columbia from 1975 to 1992 using satellite images, Can. J. Forest Res., 28(1): 23-36
- Singh, A., 1989. Digital change detection techniques using remotely-sensed data, Int J. Remote Sens.,10:989-1003
- Stow, D. A. and D. Chen, 2002. Sensitivity of multitemporal NOAA AVHRR data of an urbanizing region to land-use/land-cover changes and misregistration, Remote Sensing Env., 80: 297-307
- Toussaint, G. T., 1978. The use of context in pattern recognition, Pattern Recognit., 10: 189-204
- Townshend, 1. R. G., C. O. Justice, C. Gurney, and J. McManus, 1992. The impact of misregistration on change detection, Int. J. Remote Sensing,13(4): 773-779
- Zeng, Y., J. Zhang, and G. Wang, 2002. Change detection of guildings using high resolution remotely sensed data, Proc. Int. Sym. Remote Sensing, pp.530-535