结合先验概率估计的GF-3影像水体概率估计方法
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摘要
综合SAR(synthetic aperture radar)影像的统计模型假设与k-means聚类算法,提出了一种结合水体分布先验概率估计的水体概率估计方法。首先,用贝叶斯推断对研究区域后向散射系数做统计模型假设。随后,结合聚类算法对像元作分类,估计水体分布先验概率,结合统计分布直方图使用非线性最小二乘拟合完成模型参数估计。试验选取了高分三号(GF-3)多种工作模式数据,并用高分一号(GF-1)影像进行验证。结果表明,该方法可有效实现SAR影像的高精度水体概率估计。
We combine k-means cluster algorithm with the statistical model of SAR(synthetic aperture radar) images and develop the probabilistic water body mapping algorithm based on the priori probability estimation. Firstly, we make the statistical model assumption about backscatter values based on Bayesian theory. Then, we classify the images based on cluster algorithm, calculate the prior probability of the water body mapping and estimate the parameters of the statistical model of water distribution.Thewater body probabilistic maps based on GF-3 images in Luquan and Xianning are calculated and then validated with GF-1 images. The algorithm is effective on high-precision probabilistic water body mapping of SAR images.
We combine k-means cluster algorithm with the statistical model of SAR(synthetic aperture radar) images and develop the probabilistic water body mapping algorithm based on the priori probability estimation. Firstly, we make the statistical model assumption about backscatter values based on Bayesian theory. Then, we classify the images based on cluster algorithm, calculate the prior probability of the water body mapping and estimate the parameters of the statistical model of water distribution.Thewater body probabilistic maps based on GF-3 images in Luquan and Xianning are calculated and then validated with GF-1 images. The algorithm is effective on high-precision probabilistic water body mapping of SAR images.
引文
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[24] SHI Zhenghao,FUNG K B.A comparison of digital speckle filters[C]//1994 IEEE International Geoscience and Remote Sensing Symposium.Pasadena,CA:IEEE.
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[26] HORRITT M S.A methodology for the validation of uncertain flood inundation models[J].Journal of Hydrology,2006,326(1-4):153-165.
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[2] 张庆君.高分三号卫星总体设计与关键技术[J].测绘学报,2017,46(3):269-277.ZHANG Qingjun.System design and key technologies of the GF-3 satellite[J].Acta Geodaetica et Cartographica Sinica,2017,46(3):269-277.
[3] 李景刚,黄诗峰,李纪人.ENVISAT卫星先进合成孔径雷达数据水体提取研究——改进的最大类间方差阈值法[J].自然灾害学报,2010,19(3):139-145.LI Jinggang,HUANG Shifeng,LI Jiren.Research on extrac-tion of water body from envisat ASAR images:a modified otsu threshold method[J].Journal of Natural Disasters,2010,19(3):139-145.
[4] OTSU N.A threshold selection method from gray-level histograms[J].IEEE Transactions on Systems,Man,and Cybernetics,1979,9(1):62-66.
[5] Lü Wentao,YU Qiuze,YU Wenxian.Water extraction in SAR images using GLCM and support vector machine[C]//IEEE 10th International Conference on Signal Processing Proceedings.Beijing,China:IEEE,2010.
[6] SILVEIRA M,HELENO S.Separation between water and land in SAR images using region-based level sets[J].IEEE Geoscience and Remote Sensing Letters,2009,6(3):471-475.
[7] KASS M,WITKIN A,TERZOPOULOS D.Snakes:active contour models[J].International Journal of Computer Vision,1988,1(4):321-331.
[8] 孟令奎,吕琪菲.复杂水体边界提取的改进正交T-Snake模型[J].测绘学报,2015,44(6):670-677.DOI:10.11947/j.AGCS.2015.20140404.MENG Lingkui,Lü Qifei.Improved orthogonal T-snake model for complex water boundary extraction[J].Acta Geodaetica et Cartographica Sinica,2015,44(6):670-677.DOI:10.11947/j.AGCS.2015.20140404.
[9] 韩斌,吴一全.SAR图像河流分割的加权指数区域能量模型[J].测绘学报,2017,46(9):1174-1181.DOI:10.11947/j.AGCS.2017.20170134.HAN Bin,WU Yiquan.Weighted exponential region energy model for river segmentation of SAR images[J].Acta Geodaetica et Cartographica Sinica,2017,46(9):1174-1181.DOI:10.11947/j.AGCS.2017.20170134.
[10] GIUSTARINI L,VERNIEUWE H,VERWAEREN J,et al.Accounting for image uncertainty in SAR-based flood mapping[J].International Journal of Applied Earth Observation and Geoinformation,2015(34):70-77.
[11] GIUSTARINI L,HOSTACHE R,KAVETSKI D,et al.Probabilistic flood mapping using synthetic aperture radar data[J].IEEE Transactions on Geoscience and Remote Sensing,2016,54(12):6958-6969.
[12] HOSTACHE R,MATGEN P,SCHUMANN G,et al.Water level estimation and reduction of hydraulic model calibration uncertainties using satellite SAR images of floods[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(2):431-441.
[13] SCHUMANN G,MATGEN P,PAPPENBERGER F.Conditioning water stages from satellite imagery on uncertain data points[J].IEEE Geoscience and Remote Sensing Letters,2008,5(4):810-813.
[14] DI BALDASSARRE G,SCHUMANN G,BATES P D.A technique for the calibration of hydraulic models using uncertain satellite observations of flood extent[J].Journal of Hydrology,2009,367(3-4):276-282.
[15] MONTANARI M,HOSTACHE R,MATGEN P,et al.Calibration and sequential updating of a coupled hydrologic-hydraulic modelusing remote-sensing derived water stages[J].Hydrology and Earth System Sciences,2009,13(3):367-380.
[16] BEVEN K.A manifesto for the equifinality thesis[J].Journal of Hydrology,2006,320(1-2):18-36.
[17] WESTERHOFF R S,WINSEMIUS H C,HUIZINGA H J,et al.Automated global water mapping based on wide-swath orbital synthetic-aperture radar[J].Hydrology and Earth System Sciences,2013,17(2):651-663.
[18] CHINI M,GIUSTARINI L,HOSTACHE R,et al.An automatic SAR-based flood mapping algorithm combining hierarchical tiling and change detection[C]//ESA Living Planet Symposium.Prague,Czech Republic:ESA,2016.
[19] ULABY F T,MOORE R K,FUNG A K.Microwave remote sensing,active and passive:Vol Ⅱ:radar remote sensing and surface scattering and emission theory[M].[S.l.]:Artech House,1982.
[20] XIE Hua,PIERCE L E,ULABY F T.Statistical properties of logarithmically transformed speckle[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(3):721-727.
[21] WILKS D S.Statistical methods in the atmospheric sciences[M].Oxford:Academic Press,2011:34.
[22] MARQUARDT D W.An algorithm for least-squares estimation of nonlinear parameters[J].Journal of the Society for Industrial and Applied Mathematics,1963,11(2):431-441.
[23] CHINI M,HOSTACHE R,GIUSTARINI L,et al.A hierarchical split-based approach for parametric thresholding of SAR images:flood inundation as a test case[J].IEEE Transactions on Geoscience and Remote Sensing,2017,55(12):6975-6988.
[24] SHI Zhenghao,FUNG K B.A comparison of digital speckle filters[C]//1994 IEEE International Geoscience and Remote Sensing Symposium.Pasadena,CA:IEEE.
[25] HOSTACHE R,MATGEN P,MONTANARI A,et al.Propagation of uncertainties in coupled hydro-meteorological forecasting systems:a stochastic approach for the assessment of the total predictive uncertainty[J].Atmospheric Research,2011,100(2-3):263-274.
[26] HORRITT M S.A methodology for the validation of uncertain flood inundation models[J].Journal of Hydrology,2006,326(1-4):153-165.
[27] BR?CKER J,SMITH L A.Increasing the reliability of reliability diagrams[J].Weather and Forecasting,2007,22(3):651-661.
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