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Cite this paper: |
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HAN Zhongzhi, WAN Jianhua, ZHANG Jie, ZHANG Hande. Abundance quantification by independent component analysis of hyperspectral imagery for oil spill coverage calculation[J]. Journal of Oceanology and Limnology, 2017, 35(4): 978-986 |
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Abundance quantification by independent component analysis of hyperspectral imagery for oil spill coverage calculation |
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HAN Zhongzhi1,2, WAN Jianhua2, ZHANG Jie3, ZHANG Hande1,4 |
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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 km2, 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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Key words:
oil spill|hyperspectral imagery|endmember extraction|abundance quantification|independent component analysis (ICA)
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Received: 2015-11-06 Revised: 2016-04-11 |
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