干旱区生态环境知识资源中心(Arid): Application of Image Filtering Operator in Extraction of Soil Salinization Information

Arid

DOI	10.3788/LOP57.042801
	Application of Image Filtering Operator in Extraction of Soil Salinization Information
	Wang Zheng; Zhang Fei; Zhang Xianlong; Wang Yishan
通讯作者	Zhang, F
来源期刊	LASER & OPTOELECTRONICS PROGRESS
ISSN	1006-4125
出版年	2020
卷号	57 期号:4
英文摘要	To reduce the noise in remote-sensing images, seven typical filtering operators arc selected to separately process the remote-sensing images. Combined with the classification method of support vector machine (SVM), we analyze the variation of images' brightness values after filtering and compare their accuracy with that of unfiltered remote-sensing images. The results show that the filtered remote-sensing images have a higher classification accuracy for the extraction of soil salinization compared with untreated remote-sensing images. Of the several selected filtering operators, the soil-salinity extraction model that uses Gaussian low-pass filtering and SVM can improve the classification accuracy and the Kappa coefficient from 86. 7285% and 82. 21% to 89. 6950% and 86.20%, respectively, which is the best classification accuracy to date. To summarize, the filtering operation suppresses noise, improves image quality, effectively improves the monitoring ability of salinization. Grasping the spatial distribution characteristics and temporal and spatial variation principle of soil salinization is of practical significance for preventing and mitigating soil salinization to protect fragile ecological environments in arid and semiarid regions.
英文关键词	remote sensing salinization image classification filtering support vector machine
类型	Article
语种	中文
收录类别	ESCI
WOS记录号	WOS:000549440200040
WOS关键词	CLASSIFICATION
WOS类目	Engineering, Electrical & Electronic ; Optics
WOS研究方向	Engineering ; Optics
Scopus学科分类	Xinjiang Univ, Coll Resources & Environm Sci, Environm Modeling Higher Educ Inst, Urumqi 830046, Xinjiang, Peoples R China. ; Zhang, F
CSCD记录号	CSCD:Key Lab Oasis Ecol, Urumqi 83004, Xinjiang, Peoples R China.; Zhang, F
CSCD学科分类	Natl Adm Surveying Mapping & Geoinformat, Engn Res Ctr Cent Asia Geoinformat Dev & Utilizat, Urumqi 830046, Xinjiang, Peoples R China.
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/334481
作者单位	[Wang Zheng; Zhang Fei; Zhang Xianlong; Wang Yishan] Xinjiang Univ, Coll Resources & Environm Sci, Key Lab Smart City, Urumqi 830046, Xinjiang, Peoples R China; [Wang Zheng; Zhang Fei; Zhang Xianlong; Wang Yishan] Xinjiang Univ, Coll Resources & Environm Sci, Environm Modeling Higher Educ Inst, Urumqi 830046, Xinjiang, Peoples R China; [Wang Zheng; Zhang Fei; Zhang Xianlong; Wang Yishan] Key Lab Oasis Ecol, Urumqi 83004, Xinjiang, Peoples R China; [Zhang Fei] Natl Adm Surveying Mapping & Geoinformat, Engn Res Ctr Cent Asia Geoinformat Dev & Utilizat, Urumqi 830046, Xinjiang, Peoples R China
推荐引用方式 GB/T 7714	Wang Zheng,Zhang Fei,Zhang Xianlong,et al. Application of Image Filtering Operator in Extraction of Soil Salinization Information[J]. 新疆大学,2020,57(4).
APA	Wang Zheng,Zhang Fei,Zhang Xianlong,&Wang Yishan.(2020).Application of Image Filtering Operator in Extraction of Soil Salinization Information.LASER & OPTOELECTRONICS PROGRESS,57(4).
MLA	Wang Zheng,et al."Application of Image Filtering Operator in Extraction of Soil Salinization Information".LASER & OPTOELECTRONICS PROGRESS 57.4(2020).