干旱区生态环境知识资源中心(Arid): Automatic Detection of Potential Buried Archaeological Sites in Saruq Al-Hadid, United Arab Emirates

Arid

DOI	10.1117/12.2573985
	Automatic Detection of Potential Buried Archaeological Sites in Saruq Al-Hadid, United Arab Emirates
	El Rrai, Marwa Chendeb; Al-Saad, Mina; Aburaed, Nour; Al Mansoori, Saeed; Al-Ahmad, Hussain; Marshall, Stephen
通讯作者	El Rrai, MC (corresponding author), Univ Dubai, Dubai, U Arab Emirates.
会议名称	Conference on Remote Sensing Technologies and Applications in Urban Environments V held at SPIE Remote Sensing Conference
会议日期	SEP 21-25, 2020
会议地点	ELECTR NETWORK
英文摘要	The use of remote sensing in archaeological research allows the prospection of sub-surfaces in arid regions non-intrusively before the on-site investigation and excavation. While the actual detection method of expected buried archaeological structures is based on visual interpretation, this work provides a supporting archaeological guidance using remote sensing. The aim is to detect potential archaeological remains underneath the sand. This paper focuses on Saruq Al-Hadid surroundings, which is an archaeologist site discovered in 2002, located about 50 km south-east of Dubai, as archaeologists believe that other archaeological sites are potentially buried in the surroundings. The input data is derived from a combination of wavelength L-band Synthetic Aperture Radar (ALOS PALSAR), which is able to penetrate the sand, and multispectral optical images (Landsat 7). This paper develops a new strategy to help in the detection of suspected buried structures. The data fusion of surface roughness and spectral indices enables tackling the well-known limitation of SAR images and offers a set of pixels having an archaeological signature different from the manmade structures. The potential buried sites are then classified by performing a pixel-level unsupervised classification algorithm such as K-means cluster analysis. To test the performance of the proposed method, the results are compared with those obtained by visual interpretation.
英文关键词	Multispectral images SAR images Landsat ALOS PALSAR Archaeology Fusion Classification
来源出版物	REMOTE SENSING TECHNOLOGIES AND APPLICATIONS IN URBAN ENVIRONMENTS V
ISSN	0277-786X
EISSN	1996-756X
出版年	2020
卷号	11535
ISBN	978-1-5106-3884-6; 978-1-5106-3883-9
出版者	SPIE-INT SOC OPTICAL ENGINEERING
类型	Proceedings Paper
语种	英语
开放获取类型	Green Submitted
收录类别	CPCI-S
WOS记录号	WOS:000632313600008
WOS类目	Environmental Sciences ; Remote Sensing ; Optics
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Optics
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353176
作者单位	[El Rrai, Marwa Chendeb; Al-Saad, Mina; Aburaed, Nour; Al-Ahmad, Hussain] Univ Dubai, Dubai, U Arab Emirates; [Al Mansoori, Saeed] Mohammed Bin Rashid Space Ctr, Dubai, U Arab Emirates; [Marshall, Stephen] Univ Strathclyde, Glasgow, Lanark, Scotland
推荐引用方式 GB/T 7714	El Rrai, Marwa Chendeb,Al-Saad, Mina,Aburaed, Nour,et al. Automatic Detection of Potential Buried Archaeological Sites in Saruq Al-Hadid, United Arab Emirates[C]:SPIE-INT SOC OPTICAL ENGINEERING,2020.