FOUR SUPERVISED CLASSIFICATION METHODS FOR MONITORING COTTON FIELD OF VERTICILLIUM WILT USING TM IMAGE

CORC > 中国农业科学院 > 作物科学研究所

	FOUR SUPERVISED CLASSIFICATION METHODS FOR MONITORING COTTON FIELD OF VERTICILLIUM WILT USING TM IMAGE
	Wang, Q.1; Chen, B.1; Wang, J.2; Wang, F. Y.1; Han, H. Y.1; Li, S. K.3; Wang, K. R.3; Xiao, C. H.4; Dai, J. G.4
刊名	JOURNAL OF ANIMAL AND PLANT SCIENCES
	2015
卷号	25 期号:3 页码:5-12
关键词	Supervised classification cotton fields TM satellite image disease monitoring
ISSN号	1018-7081
通讯作者	Wang, Q.
英文摘要	The monitoring techniques and methods of Verticillium wilt were benefit for increasing yield and efficiency of cotton, and could provide theoretical basis for distribution of crops and disease resistant variety. The study make use of TM satellite multispectral image in the study area as data sources, combining with the ground survey data, find the optimal band combination to monitor cotton fields infected Verticillium wilt. Then four supervised classification methods, included minimum distance method, the parallelepiped method, spectral angle mapping classification and support vector machine algorithm, were applied to recognize cotton fields of Verticillium wilt. Results showed that false color band combination which from the blue band (band1), near infrared wave band (band4) and the short infrared wavelengths (band5) of the multispectral image, can be used as optimal combination of TM image to monitoring cotton fields of disease. Cotton fields of diseases could all been recognized and classified into different types by four supervisedclassification methods during blooming period; and the results of the parallelepiped method was most closest to reality, the overall accuracy and kappa coefficient were 90% and 85%, respectively, were highest in the four algorithms. The results could satisfy the production requirements, and be carried out in fast diagnosis of cotton field infected Verticilliumwilt.
学科主题	Agriculture, Multidisciplinary ; Biology ; Veterinary Sciences
语种	英语
出版者	PAKISTAN AGRICULTURAL SCIENTISTS FORUM
WOS记录号	WOS:000359475000002
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/4786]
专题	作物科学研究所
作者单位	1.Xinjiang Acad Agr Reclamat Sci, Northwest Inland Reg Key Lab Cotton Biol & Genet, Minist Agr, Shihezi, Peoples R China 2.Xinjiang Shihezi Vocat Coll, Inst Water Conservat & Architectural Engn, Shihezi, Peoples R China 3.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100193, Peoples R China 4.Shihezi Univ, Coll Agr, Shihezi, Peoples R China
推荐引用方式 GB/T 7714	Wang, Q.,Chen, B.,Wang, J.,et al. FOUR SUPERVISED CLASSIFICATION METHODS FOR MONITORING COTTON FIELD OF VERTICILLIUM WILT USING TM IMAGE[J]. JOURNAL OF ANIMAL AND PLANT SCIENCES,2015,25(3):5-12.
APA	Wang, Q..,Chen, B..,Wang, J..,Wang, F. Y..,Han, H. Y..,...&Dai, J. G..(2015).FOUR SUPERVISED CLASSIFICATION METHODS FOR MONITORING COTTON FIELD OF VERTICILLIUM WILT USING TM IMAGE.JOURNAL OF ANIMAL AND PLANT SCIENCES,25(3),5-12.
MLA	Wang, Q.,et al."FOUR SUPERVISED CLASSIFICATION METHODS FOR MONITORING COTTON FIELD OF VERTICILLIUM WILT USING TM IMAGE".JOURNAL OF ANIMAL AND PLANT SCIENCES 25.3(2015):5-12.