References
- Aplin, P. 2004. Remote sensing: Land cover. Progress in Physical Geography 28:283–293.
- Canty, M. J., and Nielsen, A. A. 2007. Investigation of alternative iteration schemes for the IR-MAD algorithm. Proceedings of SPIE—The International Society for Optical and Photonics, 674808–674808-10.
- Canty, M. J., A. A. Nielsen, and M. Schmidt. 2004. Automatic radiometric normalization of multi-temporal satellite imagery. Remote Sensing of Environment 91:441–451.
- Cohen, W., and S. Goward. 2004. Landsat's role in ecological applications of remote sensing. BioScience, 54:535–545.
- Coppin, P., I. Jonckheere, K. Nackaerts, B. Muys, and E. Lambin. 2004. Digital change detection methods in ecosystem monitoring: A review. International Journal of Remote Sensing 25:1565–1596.
- Coppin, P. R., and M. E. Bauer. 1996. Digital change detection in forest ecosystems with remote sensing imagery. Remote Sensing Reviews 13:207–234.
- Fisher, P., A. Comber, and R. Wadsworth. 2005. Land use and land cover: Contradiction or complement. In Re-Presenting GIS, Fisher, P. and P. Unwin (eds.), 85–98. Chichester: John Wiley & Sons, Inc.
- Frazier, P. S., and K. J. Page. 2000. Water body detection and delineation with Landsat TM data. Photogrammetric Engineering and Remote Sensing 66(12):1461–1467.
- Hsu, D., S. M. Karade, and T. Zhang. 2012. A spectral algorithm for learning hidden markov models. Journal of Computer and System Sciences 78(5):1460.
- Jianyong, F. 2005. Monitoring Dynamic Changes of Coastline around Qingdao and Its Adjacent Coastal Zone Using Remote Sensing [D]. Qingdao: Institute of Oceanology, Chinese Academy of Sciences.
- Lu, D., P. Mausel, and E. Brondizio. 2004. Change detection techniques. International Journal of Remote Sensing 25(12):2365–2401.
- Manavalan, P., P. Sathyanath, and G. L. Rajegowda. 1993. Digital image analysis techniques to estimate waterspread for capacity evaluations of reservoirs. Photogrammetric Engineering and Remote Sensing 59(9):1389–1395.
- MAS, J.-F. 1999. Monitoring land-cover changes: A comparison of change detection techniques. International Journal of Remote Sensing 20:139–152.
- Mason, D. C., and I. J. Davenport. 1996. Accurate and efficient determination of the shoreline in ERS-1 SAR images. IEEE Transactions on Geoscience and Remote Sensing 34(5):1243–1253.
- Mingsheng, L., Z. Pan, and G. Jianya. 2004. Multivariate change detection based on canonical transformation. Journal of Remote Sensing 4(5):197–201.
- Nielsen, A. A., and M. J. Canty. 2005. Multi- and hyperspectral remote sensing change detection with generalized difference images by the IR-MAD method. International Workshop on Analysis of Multi-temporal Remote Sensing Images, 69–173.
- Nielsen, A. A., K. Conradsen, and J. J. Simpson. 1998. Multivariate alteration detection (MAD) and MAF post-processing in multispectral, bi-temporal image data: new approaches to change detection studies. Remote Sensing of Environment 64(1):1–19.
- Singh, A. 1989. Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing 10:898–1003.
- Xukai, Z., X. Zhang, B. Yang, Z. Zhuang, and K. Shang. 2013. Coastline extraction using remote sensing based on coastal type and tidal correction. Remote Sensing for Land and Resources 25(4):91–97.
- Yongfei, G. 2011. The Study on Waterside Line and Tidal Channel Remote Sensing Information Extraction in the Yangtze River Estuary [D]. Shanghai: Shanghai Ocean University.
- Zhang, Z. J., A. N. Li, G. B. Lei, J. H. Bain, and B. F. Wu. 2014. Change detection of remote sensing images based on multiscale segmentation and decision tree algorithm over mountainous area: a case study in Panxi region, Sichuan Province. Acta Eclolgica Sinica 34(24):7222–7232.