References
- Bartsch A., R. Kidd, C. Pathe, W. Wagner, and K. Scipal, 2007. Satellite radar imagery for monitoring inland wetlands in boreal and sub-arctic environments, Journal of Aquatic Conservation: Marine and Freshwater Ecosystems, 17: 305-317. https://doi.org/10.1002/aqc.836
- Bovolo, F. and L. Bruzzone, 2007. A split-based approach to unsupervised change detection in large-size multitemporal images: Application to tsunami-damage assessment, IEEE Transactions on Geoscience and Remote Sensing, 45(6): 1658-1670. https://doi.org/10.1109/TGRS.2007.895835
- Bruzzone, L. and D.F. Prieto, 2000. Automatic analysis of the difference image for unsupervised change detection, IEEE Transactions on Geoscience and Remote Sensing, 38(3): 1171-1182. https://doi.org/10.1109/36.843009
- Dempster, A.P., N.M. Laird, and D.B. Rubin, 1977. Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society Series(B), 39(1): 1-8.
- Foulkes, S.B., and D.M. Dooth, 2000. Ship detection in ERS and Radarsat imagery using a self-organising Kohonen neural network, Proc. of Nova Scotia Conference on Ship Detection in Coastal Waters, Digby, NS, Canada.
- Freeman, J.B., and R. Dale, 2013. Assessing bimodality to detect the presence of a dual cognitive process. Behavior Research Methods, 45(1): 83-97. https://doi.org/10.3758/s13428-012-0225-x
- Goldberg, M., D. Goodenough, and S. Shlien, 1975. Classification methods and error estimation for multispectral scanner data, Proc. of 3rd Canadian Symposium on Remote Sensing, September, Edmonton, Alberta, Canada.
- Hartigan, J.A., and P.M. Hartigan, 1985. The dip test of unimodality, The Annals of Statistics, 13: 70-84. https://doi.org/10.1214/aos/1176346577
- Kittler, J. and J. Illingworth, 1986. Minimum error thresholding, Pattern Recognition, 19: 41-47. https://doi.org/10.1016/0031-3203(86)90030-0
- Kuenzer, C., H. Guo, J. Huth, P. Leinenkugel, X. Li, and S. Dech, 2013. Flood mapping and flood dynamics of the Mekong Delta: ENVISAT-ASAR-WSM based time series analyses, Remote Sensing, 5: 687-715. https://doi.org/10.3390/rs5020687
- Lee, J.S., 1981. Speckle analysis and smoothing of synthetic aperture radar images, Computer Graphics and Image Processing, 17: 24-32. https://doi.org/10.1016/S0146-664X(81)80005-6
- Lopes, A., R. Touzi, E. Nezry, 1990. Adaptive speckle filters and scene heterogeneity, IEEE Transactions on Geoscience and Remote Sensing, 28: 992-1000. https://doi.org/10.1109/36.62623
- Martinis, S., J. Kersten, and A. Twele, 2015. A fully automated TerraSAR-X based flood service, ISPRS Journal of Photogrammetry and Remote Sensing, 104: 203-212. https://doi.org/10.1016/j.isprsjprs.2014.07.014
- Martinis, S., A. Twele, and S. Voigt, 2009. Towards operational near real-time flood detection using a split-based automatic thresholding procedure on high resolution TerraSAR-X data, Natural Hazards and Earth System Sciences, 9: 303-314. https://doi.org/10.5194/nhess-9-303-2009
- Mechler, F., 2002. Hartigan's dip Statistic. available online at: http://nicprice.net/diptest/.
- Otsu, N., 1979. A threshold selection method from gray-level histograms, IEEE Transactions on Systems, Man, and Cybernetics, 9: 62-66. https://doi.org/10.1109/TSMC.1979.4310076
- Park, S.-E., Y. Yamaguchi, and D. Kim, 2013. Polarimetric SAR remote sensing of the 2011 Tohoku earthquake using ALOS/PALSAR, Remote Sensing of Environment, 132(5): 212-220. https://doi.org/10.1016/j.rse.2013.01.018
- Pulvirenti, L., M. Chini, N. Pierdicca, L. Guerriero, and P. Ferrazzoli, 2011. Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation, Remote Sensing of Environment, 115: 990-1002. https://doi.org/10.1016/j.rse.2010.12.002
- Schumann, G., G. Di Baldassarre, D. Alsdorf, and P.D. Bates, 2010. Near real-time flood wave approximation on large rivers from space: Application to the River Po, Italy, Water Resources Research, 46: 1-8.
- Ulaby, F.T., R.K. Moore, and A.K. Fung, 1982. Microwave Remote Sensing: Active and Passive, Vol. II, Addison-Wesley, Advanced Book Program, Reading, MA, USA.
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