Single spectral imagery and faster R-CNN to identify hazardous and noxious substances spills

doi:10.1016/j.envpol.2019.113688

CIOMP OpenIR

	Single spectral imagery and faster R-CNN to identify hazardous and noxious substances spills
	H. Huang,C. Wang,S. C. Liu,Z. H. Sun,D. J. Zhang,C. C. Liu,Y. Jiang,S. Y. Zhan,H. F. Zhang and R. Xu
	2020
发表期刊	Environmental Pollution
ISSN	0269-7491
卷号	258 页码:11
摘要	The automatic identification (location, segmentation, and classification) by UAV-based optical imaging of spills of transparent floating Hazardous and Noxious Substances (HNS) benefits the on-site response to spill incidents, but it is also challenging. With a focus on the on-site optical imaging of HNS, this study explores the potential of single spectral imaging for HNS identification using the Faster R-CNN architecture. Images at 365 nm (narrow UV band), blue channel images (visible broadband of -400-600 nm), and RGB images of typical HNS (benzene, xylene, and palm oil) in different scenarios were studied with and without Faster R-CNN. Faster R-CNN was applied to locate and classify the HNS spills. The segmentation using Faster R-CNN-based methods and the original masking methods, including Otsu, Max entropy, and the local fuzzy thresholding method (LFTM), were investigated to explore the optimal wavelength and corresponding image processing method for the optical imaging of HNS. We also compared the classification and segmentation results of this study with our previously published studies on multispectral and whole spectral images. The results demonstrated that single spectral UV imaging at 365 nm combined with Faster R-CNN has great potential for the automatic identification of transparent HNS floating on the surface of the water. RGB images and images using Faster R-CNN in the blue channel are capable of HNS segmentation. (C) 2019 Elsevier Ltd. All rights reserved.
DOI	10.1016/j.envpol.2019.113688
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收录类别	SCI ; EI
语种	英语
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/64889
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	H. Huang,C. Wang,S. C. Liu,Z. H. Sun,D. J. Zhang,C. C. Liu,Y. Jiang,S. Y. Zhan,H. F. Zhang and R. Xu. Single spectral imagery and faster R-CNN to identify hazardous and noxious substances spills[J]. Environmental Pollution,2020,258:11.
APA	H. Huang,C. Wang,S. C. Liu,Z. H. Sun,D. J. Zhang,C. C. Liu,Y. Jiang,S. Y. Zhan,H. F. Zhang and R. Xu.(2020).Single spectral imagery and faster R-CNN to identify hazardous and noxious substances spills.Environmental Pollution,258,11.
MLA	H. Huang,C. Wang,S. C. Liu,Z. H. Sun,D. J. Zhang,C. C. Liu,Y. Jiang,S. Y. Zhan,H. F. Zhang and R. Xu."Single spectral imagery and faster R-CNN to identify hazardous and noxious substances spills".Environmental Pollution 258(2020):11.

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