Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1155/2022/5645535 |
Dynamic Evolution Analysis of Desertification Images Based on BP Neural Network | |
Lu, Guanyao; Xu, Dan; Meng, Yue | |
通讯作者 | Lu, GY |
来源期刊 | COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
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ISSN | 1687-5265 |
EISSN | 1687-5273 |
出版年 | 2022 |
卷号 | 2022 |
英文摘要 | In recent years, with the rise of artificial intelligence, deep neural network models have been used in various image recognition researches. Land desertification is a major environmental problem facing the world at present, and how to do a good job in dynamic monitoring is particularly important. For remote sensing images, this paper constructs a GA-PSO-BP analysis model based on BP neural network, genetic algorithm, and particle swarm algorithm and compares the classification training accuracies of the four models of BP, GA-BP, PSO-BP, and GA-PSO-BP; GA-PSO-BP was selected for dynamic analysis of desertification images, and the results showed the following: (1) By comparing the regional classification training accuracies of the four models of BP, GA-BP, PSO-BP, and GA-PSO-BP, the GA-PSO-BP neural network remote sensing image classification method proposed in this paper is simple and easy to operate. Compared with traditional remote sensing image classification methods and traditional neural network classification methods, the classification accuracy of remote sensing effects is improved. (2) Carrying out desertification analysis on remote sensing images of Horqin area, from 2010 to 2015, the desertified land area in the test area increased by 1.56 km(2); from 2015 to 2020, the desertified land area in the test area decreased by 1.131 km(2), and the desertified land in the test area from 2010 to 2020 showed a trend of increasing first and then decreasing, which is consistent with the actual situation. The GA-PSO-BP remote sensing image classification model has a good performance portability. |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold, Green Published |
收录类别 | SCI-E |
WOS记录号 | WOS:000778450300007 |
WOS关键词 | GENETIC ALGORITHM |
WOS类目 | Mathematical & Computational Biology ; Neurosciences |
WOS研究方向 | Mathematical & Computational Biology ; Neurosciences & Neurology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/392179 |
推荐引用方式 GB/T 7714 | Lu, Guanyao,Xu, Dan,Meng, Yue. Dynamic Evolution Analysis of Desertification Images Based on BP Neural Network[J],2022,2022. |
APA | Lu, Guanyao,Xu, Dan,&Meng, Yue.(2022).Dynamic Evolution Analysis of Desertification Images Based on BP Neural Network.COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE,2022. |
MLA | Lu, Guanyao,et al."Dynamic Evolution Analysis of Desertification Images Based on BP Neural Network".COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022(2022). |
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