Information extraction method of Enteromorpha prolifera based on UAV remote sensing image

doi:10.13474/j.cnki.11-2246.2023.0226

Abstract

Abstract: Enteromorpha prolifera, as a typical marine pollution, not only causes serious ecological and environmental problems, but also has a significant impact on coastal economic development. How to quickly and accurately obtain the location, boundary range and dynamic change information of Enteromorpha prolifera is the focus of natural resource authorities and researchers. In this paper, Daguan Island and its adjacent waters are selected as the study area, and a set of intelligent interpretation methods for the boundary range of Enteromorpha prolifera in multiple scenes is proposed based on UAV remote sensing images. At the same time, combined with the manual interpretation and verification, the application examples of Enteromorpha prolifera identification in coastal and marine areas are carried out respectively. The results show that the overall accuracy of the extraction of Enteromorpha prolifera from coastal and marine surfaces is 96.75% and 98.13%, respectively, and the Kappa coefficient is 0.72 and 0.71, respectively. The boundary range of Enteromorpha prolifera extracted matches well with the result of manual interpretation. The method proposed in this paper can quickly and effectively obtain the boundary range information of Enteromorpha prolifera, and its accuracy can meet the requirements of Enteromorpha prolifera information identification, and can provide data reference and technical support for high-precision tracking, refined disaster early warning and prevention and control.

Key words: unmanned aerial vehicle remote sensing, Enteromorpha prolifera, intelligent interpretation, extraction method, accuracy evaluation

CLC Number:

P237

MA Deming, ZHANG Xiulin, TIAN Ziwen, WANG Jiaxin. Information extraction method of Enteromorpha prolifera based on UAV remote sensing image[J]. Bulletin of Surveying and Mapping, 2023, 0(8): 24-28.

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