Abundance quantification by independent component analysis of hyperspectral imagery for oil spill coverage calculation |
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Authors: | Han Zhongzhi Wan Jianhua Zhang Jie Zhang Hande |
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Affiliation: | 1.Information College, Qingdao Agricultural University, Qingdao, 266109, China ;2.School of Geosciences, China University of Petroleum, Qingdao, 266580, China ;3.The First Institute of Oceanography, State Oceanic Administration (SOA), Qingdao, 266061, China ;4.China Marine Surveillance Beihai Aviation Detachment, Qingdao, 266061, China ; |
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Abstract: | The estimation of oil spill coverage is an important part of monitoring of oil spills at sea.The spatial resolution of images collected by airborne hyper-spectral remote sensing limits both the detection of oil spills and the accuracy of estimates of their size.We consider at-sea oil spills with zonal distribution in this paper and improve the traditional independent component analysis algorithm.For each independent component we added two constraint conditions:non-negativity and constant sum.We use priority weighting by higher-order statistics,and then the spectral angle match method to overcome the order nondeterminacy.By these steps,endmembers can be extracted and abundance quantified simultaneously.To examine the coverage of a real oil spill and correct our estimate,a simulation experiment and a real experiment were designed using the algorithm described above.The result indicated that,for the simulation data,the abundance estimation error is 2.52% and minimum root mean square error of the reconstructed image is 0.030 6.We estimated the oil spill rate and area based on eight hyper-spectral remote sensing images collected by an airborne survey of Shandong Changdao in 2011.The total oil spill area was 0.224 km~2,and the oil spill rate was 22.89%.The method we demonstrate in this paper can be used for the automatic monitoring of oil spill coverage rates.It also allows the accurate estimation of the oil spill area. |
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