干旱区生态环境知识资源中心(Arid): Study on Remote Sensing Image Classification of Oasis Area Based on ENVI Deep Learning

Arid

DOI	10.15244/pjoes/160190
	Study on Remote Sensing Image Classification of Oasis Area Based on ENVI Deep Learning
	Ma, Hong; Zhao, Wenju; Li, Fenhua; Yan, Honghua; Liu, Yuhang
通讯作者	Zhao, WJ
来源期刊	POLISH JOURNAL OF ENVIRONMENTAL STUDIES
ISSN	1230-1485
EISSN	2083-5906
出版年	2023
卷号	32 期号:3 页码:2231-2242
英文摘要	In this paper, based on the Landsat multispectral remote sensing images of 1999, 2008 and 2019 in the oasis area of the Taolai River Basin, a remote sensing image classification method based on ENVI deep learning was constructed to extract and identify the cover information of oasis area on the basis of establishing classification system, interpretation flags and sample data sets, and compared with the classification methods based on backpropagation neural network (BPNN), support vector machine regression (SVM) and random forest (RF). The results show that the overall accuracy of the classification method based on ENVI deep learning is 97.34 %, and the Kappa coefficient is 0.96; Under the same number of samples, compared with the classification method based on BPNN, SVM and RF, the classification method based on ENVI deep learning constructed in this study improves the overall accuracy by 6.80%, 2.04% and 3.03%, and the Kappa coefficient increases by 0.12, 0.07 and 0.09, respectively, and the classification method is the best for extracting surface cover information fin oasis area. This study can provide technical support for rapid and accurate extraction and identification of ground cover information.
英文关键词	remote sensing image classification method Kappa coefficient deep learning Oasis area
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000972727900022
WOS关键词	CONVOLUTIONAL NEURAL-NETWORK
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398153
推荐引用方式 GB/T 7714	Ma, Hong,Zhao, Wenju,Li, Fenhua,et al. Study on Remote Sensing Image Classification of Oasis Area Based on ENVI Deep Learning[J],2023,32(3):2231-2242.
APA	Ma, Hong,Zhao, Wenju,Li, Fenhua,Yan, Honghua,&Liu, Yuhang.(2023).Study on Remote Sensing Image Classification of Oasis Area Based on ENVI Deep Learning.POLISH JOURNAL OF ENVIRONMENTAL STUDIES,32(3),2231-2242.
MLA	Ma, Hong,et al."Study on Remote Sensing Image Classification of Oasis Area Based on ENVI Deep Learning".POLISH JOURNAL OF ENVIRONMENTAL STUDIES 32.3(2023):2231-2242.