Acta Photonica Sinica, Volume. 43, Issue 5, 530002(2014)

Study of Cloud Background Suppression for Oil Spill Detection from Hyperspectral Data

LIU De-lian*... LI ZHAO-hui and ZHANG Jian-qi |Show fewer author(s)
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    References(14)

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    [2] [2] SOLBERG A H S, STORVIK G, SOLBERG R et al. Automatic detection of oil spills in ERS SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(4): 1916-1924.

    [3] [3] SHEN S S, LEWIS P E. Deepwater horizon oil spill monitoring using airborne multispectral infrared imagery[C]. SPIE, 2011, 8048: 80480H-1.

    [4] [4] LEIFER I, LEHR W J, SIMECEK-BEATTY D, et al. State of the art satellite and airborne marine oil spill remote sensing: application to the BP Deepwater Horizon oil spill[J]. Remote Sensing of Environment, 2012, 124(9): 185-209.

    [5] [5] JHA M N, LEVY J, CAO Y. Advances in remote sensing for oil spill disaster management: state-of-the-art sensors technology for oil spill surveillance[J]. Sensor, 2008, 8(1): 236-255.

    [6] [6] LENNON M, BABICHENKO S, THOMAS N, et al. Detection and mapping of oil slicks in the sea by combined use of hyperspectral imagery and laser-induced fluorescence[C]. EARSeLe Proceedings, 2006, 5(1): 120-128.

    [7] [7] SALEM F, KAFATOS M, EL-GHAZAWI T, et al. Hyperspectral image assessment of oil-contaminated wetland [J]. International Journal of Remote Sensing, 2005, 26(4): 811-821.

    [8] [8] HU C, LI X, PICHEL W G, et al. Detection of natural oil slicks in the NW Gulf of Mexico using MODIS imagery[J]. Geophysical Research Letters, 2009, 36(1): L01604.

    [9] [9] KOKALY R F, HOEFEN T M, LIVO K E, et al. A rapid method for creating qualitative images indicative of thick oil emulsion on the ocean's surface from imaging spectrometer data[R]. U.S. Geological Survey Open-File Report 2010-1107, 2010:1-9.

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    LIU De-lian, LI ZHAO-hui, ZHANG Jian-qi. Study of Cloud Background Suppression for Oil Spill Detection from Hyperspectral Data[J]. Acta Photonica Sinica, 2014, 43(5): 530002

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    Paper Information

    Received: Jul. 14, 2013

    Accepted: --

    Published Online: Jun. 3, 2014

    The Author Email: De-lian LIU (dlliu@xidian.edu.cn)

    DOI:10.3788/gzxb20144305.0530002

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