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海洋溢油合成孔径雷达图像特征提取及其关键度分析

DOI: 10.3969/j.issn.0253-4193.2013.01.010, PP. 85-93

Keywords: SAR图像,溢油,关键度,特征提取

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Abstract:

就SAR图像溢油检测的方法论而言,用于识别溢油和疑似现象的定性或定量的统计特征量选择,通常是任意的。对于不同的分类模型,所选用的特征量也不尽相同。主要是进行海洋SAR图像特征提取及其关键度分析。其目的是将"最小距离"判别法应用于海上溢油和疑似溢油的识别研究。首先,针对海洋SAR图像溢油检测常用的特征量,进行冗余处理;然后,引入关键系数,定量地研究特征量的关键度,提取显著特征量;藉以构造一个多维的特征矢量空间,以适于最小距离判别法在特征矢量空间中进行溢油和疑似溢油的识别研究。

References

[1]  Nirchio F, Sorgente M, Giancaspro A, et al. Automatic detection of oil spills from SAR images[J]. International Journal of Remote Sensing, 2005(26): 1157-1174.
[2]  Brekke C, Solberg A H S. Oil spill detection by satellite remote sensing[J]. Remote Sensing of Environment, 2005,95(1): 1-13.
[3]  Girard-Ardhuin F, Mercier G, Collard F,et al. Operational oil-slick characterization by SAR imagery and synergistic data[J]. IEEE Journal of Oceanic Engineering, 2005,30(3): 487-495.
[4]  Topuzelis K N. Oil spill detection by SAR images: dark formation detection, feature extraction and classification algorithms[J]. Sensors, 2008,8: 6642-6659.
[5]  袁礼海, 宋建社, 沈涛. 合成孔径雷达图像特征关键度分析与分类算法研究[J]. 兵工学报, 2007, 28(10):1186-1190
[6]  Jackson R, Apel R. Synthetic Aperture Radar Marine User\'s Manual[M]. NOAA, Sept, 2004.
[7]  Solberg A H, Storvik G, Solberg R V. Automatic detection of oil spills in ERS SAR images[J].IEEE Transactions on Geoscience and Remote Sensing,1999,37:1916-1924.
[8]  Solberg A H S, Brekke C, Husoy P. Oil spill detection in Radarsat and Envisat SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(3): 746-755.
[9]  Solberg A H S, Dokken S T, Solberg R. Automatic detection of oil spills in Envisat, Radarsat and ERS SAR images [G]// Proc IGARSS\' 03, No.4.2003: 2747-2749.
[10]  Frate F D, Petrocchi A, Lichtenegger J, et al. Neural networks for oil spill detection using ERS2 SAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5):2282-2287.
[11]  Fiscella B, Giancaspro A, Nirchio F, et al. Oil spill detection using marine SAR images[J]. International Journal of Remote Sensing, 2000(21):3561-3566.
[12]  Keramitsogloua I, Cartalisa C, Kiranoudis C T. Automatic identification of oil spills on satellite images[J]. Environmental Modeling and Software, 2006(21): 640-652.
[13]  Karathanassi V, Topouzelis K, Pavlakis P,et al. An object-oriented methodology to detect oil spills[J]. International Journal of Remote Sensing, 2006,27(23):5235-5251.
[14]  Topouzelis K, Stathakis D, Karathanassi V. Investigation of genetic algorithms contribution to feature selection for oil spill detection[J]. International Journal of Remote Sensing, 2009,30(3): 611-625.
[15]  Haralick R M, Shanmugam K, Dinstein I. Textural features for image classification[J]. IEEE Transactions on Systems,Man and Cybernetics, 1973,SMC-3(6): 610-621.

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