Experimental approach for identifying building surface materials based on hyperspectral remote sensing imagery

doi:10.1631/jzus.A1700149

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 山地灾害与地表过程重点实验室

	Experimental approach for identifying building surface materials based on hyperspectral remote sensing imagery
	Ye, Cheng-ming 1,2; Cui, Peng2 ; Pirasteh, Saied 3; Li, Jonathan 3; Li, Yao 1
刊名	JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
	2017-12-01
卷号	18 期号:12 页码:984-990
关键词	Building materials Hyperspectral remote sensing (HRS) Spectral recognition Spectrum analysis
ISSN号	1673-565X
DOI	10.1631/jzus.A1700149
英文摘要	The management of hazardous building materials poses legal and financial challenges for those in the construction, real estate, and property management fields. Building surface materials have different spectral responses in the electromagnetic energy spectrum. Remote sensors can receive the energy reflection and transmission from such materials. In this study we investigated the spectral characteristics of building materials in wavelengths ranging from 350 nm to 2500 nm. We explored a new method for identifying color steel, clay, glazed tile, and asphalt concrete using hyperspectral remote sensing based on building material spectrum characteristics. We discussed methods for extracting information about the construction materials from hyperspectral remote sensing images. We described a practical applied model, based on spectrum measurements, for the analysis of common building materials, and tested the model using hyperspectral remote sensing data from the EO-1 Hyperion sensor and Chinese airborne hyperspectral data from the pushbroom hyperspectral imager (PHI) spectrometer, covering an urban area. Our results show that building surface materials can be identified from hyperspectral remote sensing images with a reasonable quality, based on the spectral sensitivity of different building materials. For example, concrete and asphalt are more sensitive than other materials. We concluded that the proposed method based on hyperspectral remote sensing images and spectral recognition techniques is an efficient way to extract information about building materials.
语种	英语
出版者	ZHEJIANG UNIV
WOS记录号	WOS:000418113600005
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/20723]
专题	成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者	Ye, Cheng-ming
作者单位	1.Chengdu Univ Technol, Key Lab Earth Explorat & Informat Technol, Minist Educ, Chengdu 610059, Sichuan, Peoples R China 2.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China 3.Univ Waterloo, Fac Environm, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada
推荐引用方式 GB/T 7714	Ye, Cheng-ming,Cui, Peng,Pirasteh, Saied,et al. Experimental approach for identifying building surface materials based on hyperspectral remote sensing imagery[J]. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A,2017,18(12):984-990.
APA	Ye, Cheng-ming,Cui, Peng,Pirasteh, Saied,Li, Jonathan,&Li, Yao.(2017).Experimental approach for identifying building surface materials based on hyperspectral remote sensing imagery.JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A,18(12),984-990.
MLA	Ye, Cheng-ming,et al."Experimental approach for identifying building surface materials based on hyperspectral remote sensing imagery".JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A 18.12(2017):984-990.