干旱区生态环境知识资源中心(Arid): Analysis on change detection techniques for remote sensing applications: A review

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DOI	10.1016/j.ecoinf.2021.101310
	Analysis on change detection techniques for remote sensing applications: A review
	Afaq, Yasir; Manocha, Ankush
通讯作者	Manocha, A (corresponding author), Lovely Profess Univ, Sch Comp Applicat, Phagwara, Punjab, India.
来源期刊	ECOLOGICAL INFORMATICS
ISSN	1574-9541
EISSN	1878-0512
出版年	2021
卷号	63
英文摘要	Satellite images taken on the earth's surface are analyzed to identify the spatial and temporal changes that have occurred naturally or manmade. Real-time prediction of change provides an understanding related to the land cover, environmental changes, habitat fragmentation, coastal alteration, urban sprawl, etc. In the current study, various digital change detection approaches and their constituent methods are presented. It was found that (i) change vector analysis method provides better accuracy among the algebra-based change detection approach, (ii) discrete wavelet transformation is better among transformation techniques, (iii) considering the artificial neural network and fuzzy-based approaches to analyze the prediction performance over the traditional state-ofthe-art approaches, (iv) analyzing the promising outcomes generated by deep learning techniques for difference analysis related to the images captured at a different instance of time. The brief outlines of different change detection approaches are discussed in this study and addressed the need for improvement in the methods that are developed for the detection of a change in the remote sensing community.
英文关键词	Deep learning Change detection Land use and land cover Object detection Remote sensing Satellite images
类型	Review
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000663754100001
WOS关键词	UNSUPERVISED CHANGE DETECTION ; LAND-COVER CHANGE ; CHANGE-DETECTION ALGORITHMS ; RANDOM-FIELD MODEL ; ACCURACY ASSESSMENT ; CELLULAR-AUTOMATA ; NEURAL-NETWORKS ; MONITORING DESERTIFICATION ; SATELLITE IMAGERY ; DIFFERENCE IMAGE
WOS类目	Ecology
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/2XILL650/350024
作者单位	[Afaq, Yasir; Manocha, Ankush] Lovely Profess Univ, Sch Comp Applicat, Phagwara, Punjab, India
推荐引用方式 GB/T 7714	Afaq, Yasir,Manocha, Ankush. Analysis on change detection techniques for remote sensing applications: A review[J],2021,63.
APA	Afaq, Yasir,&Manocha, Ankush.(2021).Analysis on change detection techniques for remote sensing applications: A review.ECOLOGICAL INFORMATICS,63.
MLA	Afaq, Yasir,et al."Analysis on change detection techniques for remote sensing applications: A review".ECOLOGICAL INFORMATICS 63(2021).