The recognition of ocean red tide with hyper-spectral-image based on EMD

Wencang Zhao; Hongli Wei; Changjiang Shi; Guangrong Ji

doi:10.1007/s00343-008-0137-x

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The recognition of ocean red tide with hyper-spectral-image based on EMD

OriginalPaper | Updated：2023-05-16

- The recognition of ocean red tide with hyper-spectral-image based on EMD
- The recognition of ocean red tide with hyper-spectral-image based on EMD
- 海洋湖沼学报（英文） 2008年26卷第2期页码：137-141
- Affiliations：
  
  1. College of Automation and Electronic Engineering Qingdao University of Science & Technology
  2. College of Electronic and Information Engineering Xi’an Jiaotong University
  3. Shandong Entry-Exit Inspection and Quarantine Bureau
  4. Department of Electronic Engineering Ocean University of China
- Author bio：
- Funds：
  
  Supported by Shandong Natural Science Fund (No. Y2007G32), and the Doctoral Fund of Qingdao University of Science & Technology (No. 0022143).
- DOI：10.1007/s00343-008-0137-x
  中图分类号：
- 网络首发：2008-05-28，
  
  纸质出版：2008
- Accepted：
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The recognition of ocean red tide with hyper-spectral-image based on EMD[J]. 海洋湖沼学报（英文）, 2008,26(2):137-141.

Zhao, W., Wei, H., Shi, C. et al. The recognition of ocean red tide with hyper-spectral-image based on EMD., Chin. J. Ocean. Limnol. 26, 137–141 (2008). https://doi.org/10.1007/s00343-008-0137-x
The recognition of ocean red tide with hyper-spectral-image based on EMD[J]. 海洋湖沼学报（英文）, 2008,26(2):137-141. DOI： 10.1007/s00343-008-0137-x.

Zhao, W., Wei, H., Shi, C. et al. The recognition of ocean red tide with hyper-spectral-image based on EMD., Chin. J. Ocean. Limnol. 26, 137–141 (2008). https://doi.org/10.1007/s00343-008-0137-x DOI：

摘要

Abstract

A new technique is introduced in this paper regarding red tide recognition with remotely sensed hyper-spectral images based on empirical mode decomposition (EMD)

from an artificial red tide experiment in the East China Sea in 2002. A set of characteristic parameters that describe absorbing crest and reflecting crest of the red tide and its recognition methods are put forward based on general picture data

with which the spectral information of certain non-dominant alga species of a red tide occurrence is analyzed for establishing the foundation to estimate the species. Comparative experiments have proved that the method is effective. Meanwhile

the transitional area between red-tide zone and non-red-tide zone can be detected with the information of thickness of algae influence

with which a red tide can be forecast.

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references

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