干旱区生态环境知识资源中心(Arid): Study on Identification for the Typical Pasture Based on Image Texture Features

Arid

	Study on Identification for the Typical Pasture Based on Image Texture Features
	Han Ding; Wang Junling; Wen Jing; Ma ZiYin; Zhang Xu; Du DePeng
通讯作者	Wang, JL (corresponding author), Inner Mongolia Univ, Coll Elect & Informat Engn, Hohhot 010021, Peoples R China.
会议名称	31st Chinese Control And Decision Conference (CCDC)
会议日期	JUN 03-05, 2019
会议地点	Nanchang, PEOPLES R CHINA
英文摘要	Aiming at the problems of pasture monitoring and low-level digitization in Inner Mongolia desert steppe, the texture feature extraction and image recognition for three typical pastures were represented in this paper so as to provide a basis for grass species identification and grassland management. Images of three typical pasture's leaves (Herb of Shady Jerusalemsage, Cleistogenes songorica (Roshev.) and Ohwiand potentilla anserine) were preprocessed by using image processing technology, 7 kinds texture features were extracted by using Gray-Gradient Co-occurrence Matrix, and then a BP neural network was built for realizing the image recognition of these three pastures. An 84.7% of final overall recognition rate and an effective classification result of three pasture images were received. The experimental results indicate that the image classification were perfectly realized by using a BP neural network model based on texture features . The recognition for forage image provides a scientific basis for the monitoring of vegetation species diversity, grass degradation and pest control.
英文关键词	Pasture Texture feature Gray-Gradient Co-occurrence Matrix Image Recognition
来源出版物	PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019)
ISSN	1948-9439
出版年	2019
页码	778-782
ISBN	978-1-7281-0105-7
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000555859001003
WOS类目	Automation & Control Systems ; Operations Research & Management Science
WOS研究方向	Automation & Control Systems ; Operations Research & Management Science
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369985
作者单位	[Han Ding; Wang Junling; Ma ZiYin; Zhang Xu] Inner Mongolia Univ, Coll Elect & Informat Engn, Hohhot 010021, Peoples R China; [Du DePeng] Inner Mongolia Univ, Coll Comp Sci, Hohhot 010021, Peoples R China; [Wen Jing] Hohhot Vocat Coll, Hohhot 010051, Peoples R China
推荐引用方式 GB/T 7714	Han Ding,Wang Junling,Wen Jing,et al. Study on Identification for the Typical Pasture Based on Image Texture Features[C]:IEEE,2019:778-782.