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Research Article |

Mangrove Interspecies Classification Based on UAV Hyperspectral Images

In recent years, the UAV light-weighted hyperspectral imaging system has become more available. It can provide high spatial and spectral resolution images for environment monitoring. Mangrove forest interspecies distribution map is important data source for the government to design the protection policy. A research on UAV hyperspectral remote sensing surveying of mangrove forest is implemented in Futian Nature Reserve area located In Shenzhen, China. The UAV-based hyperspectral images were collected and processed to get the geometrically corrected mosaicked reflectance data that was latter used to extract the mangrove interspecies map. Based on the hyperspectral data, the supervised pixel-based classification methods were implemented. Firstly, NDVI is used to distinguish mangrove forest from other ground object features based on the decision tree classification method with expert knowledge. Then MNF transformation is performed on the hyperspectral data to get the transformed feature that represents the most information of the hyperspectral bands. Next, the best exponential factor formula (OIF) method is used to analyze the first 10 band features chosen by the MNF transformation to get the optimal band combination for classification. Finally, the pixel-based maximum likelihood, minimum distance classification methods are used to classify the mangrove interspecies. The classification results show the distribution of mangrove areas. The pixel-based minimum distance method performs better and the overall classification accuracy can reach to 98.21%.

Mangrove, Hyperspectral, Information Extraction, Futian Nature Reserve

APA Style

Yi, L., Zhang, G., Lu, F., Zhou, Y. (2023). Mangrove Interspecies Classification Based on UAV Hyperspectral Images. Earth Sciences, 12(6), 244-248. https://doi.org/10.11648/j.earth.20231206.16

ACS Style

Yi, L.; Zhang, G.; Lu, F.; Zhou, Y. Mangrove Interspecies Classification Based on UAV Hyperspectral Images. Earth Sci. 2023, 12(6), 244-248. doi: 10.11648/j.earth.20231206.16

AMA Style

Yi L, Zhang G, Lu F, Zhou Y. Mangrove Interspecies Classification Based on UAV Hyperspectral Images. Earth Sci. 2023;12(6):244-248. doi: 10.11648/j.earth.20231206.16

Copyright © 2023 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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