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Research on Information Extraction of the Dongting Lake Ecological Wetland Based on Genetic Algorithm Optimized Convolutional Neural Network

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成果类型:
期刊论文
作者:
Wan, Diandi;Yin, Shaohua
通讯作者:
Wan, D.
作者机构:
[Yin, Shaohua; Wan, Diandi] Cent South Univ Forestry & Technol, Business Sch, Changsha, Peoples R China.
通讯机构:
[Wan, D.] B
Business School, China
语种:
英文
关键词:
Dongting Lake;Normalized water body;Wetland information extraction;GA-CNN;Normalized vegetation
期刊:
FRONTIERS IN ECOLOGY AND EVOLUTION
ISSN:
2296-701X
年:
2022
卷:
10
页码:
944298
机构署名:
本校为第一机构
院系归属:
商学院
摘要:
Dongting Lake is an important lake wetland in China. How to quickly and accurately obtain the basic information of the Dongting Lake ecological wetland is of great + significance for the dynamic monitoring, protection, and sustainable utilization of the wetland. Therefore, this article proposes the information extraction of the Dongting Lake ecological wetland based on genetic algorithm optimized convolutional neural network (GA-CNN), an analysis model combining genetic algorithm (GA) and convolutional neural network (CNN). Firstly, we know the environmental information of Dongting Lake, take ...

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