Information extraction of enteromorpha green tide area based on variational level set method

Zhang Yongmei; Pan Zhenkuan; Cao Conghua; Duan Jinming; Lu Jingge

doi:10.3969/j.issn.0253-4193.2017.09.012

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Article Navigation > Haiyang Xuebao > 2017 > 39(9): 121-132

Zhang Yongmei, Pan Zhenkuan, Cao Conghua, Duan Jinming, Lu Jingge. Information extraction of enteromorpha green tide area based on variational level set method[J]. Haiyang Xuebao, 2017, 39(9): 121-132. doi: 10.3969/j.issn.0253-4193.2017.09.012

Citation:

Zhang Yongmei, Pan Zhenkuan, Cao Conghua, Duan Jinming, Lu Jingge. Information extraction of enteromorpha green tide area based on variational level set method[J]. Haiyang Xuebao, 2017, 39(9): 121-132. doi: 10.3969/j.issn.0253-4193.2017.09.012

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Information extraction of enteromorpha green tide area based on variational level set method

doi: 10.3969/j.issn.0253-4193.2017.09.012

1.
North China Sea Marine Forecasting Center of State Oceanic Administration, Qingdao 266061, China;Shandong Provincial Laboratory of Marine Ecology and Environment & Disaster Prevention and Mitigation, Qingdao 266061, China
2.
School of Computer Science & Technology, Qingdao University, Qingdao 266071, China

Received Date: 2016-09-25
Rev Recd Date: 2016-10-30

Abstract

Abstract

Green tide area information extraction is an important link of the remote sensing monitoring, its result will directly affect the subsequent statistical analysis and the early warning prediction. Now researchers generally extract the green tide area information based on the traditional threshold method, and this approach has many disadvantages such as low efficiency, unstable result and human factors. Against to above-mentioned problem, the dual method and split Bregman projection method based on variational level set method was studied used to the green tide area information extraction in this paper. A new quantization method was proposed, which was used to deal with the green tide information result extracted by the two mentioned methods. Based on the traditional threshold method and the dual method and split Bregman projection method, the experiments of three images were respectively carried out, and extraction results were compared and analyzed. To higher resolution satellite remote sensing data, the experiment results show that not only the extraction efficiency but the accuracy and stability based on variational level set method are all superior to the traditional threshold method.
- greed tide,
- information extraction,
- image segmentation,
- variational level set method

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References(13)

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