干旱区生态环境知识资源中心(Arid): A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data

Arid

DOI	10.1142/S0218126620300068
	A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data
	Wu, Chunming 1; Li, Xiao 1; Chen, Weitao 2; Li, Xianju 2
通讯作者	Wu, Chunming ; Chen, Weitao
来源期刊	JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
ISSN	0218-1266
EISSN	1793-6454
出版年	2020
卷号	29 期号:6
英文摘要	Geologists employ high-spatial-resolution (HR) remote sensing (RS) data for many diverse applications as they effectively reflect detailed geological information, enabling high-quality and efficient geological surveys. Applications of HR RS data to geological and related fields have grown recently. HR optical remote sensing data are widely used in geological hazard assessment, seismic monitoring, mineral exploitation, glacier monitoring, and mineral information extraction due to high accuracy and clear object features. By reviewing these applications, we can better understand the results of previous studies and more effectively use the latest data and methods to efficiently extract key geological information. Compared with optical satellite images, synthetic-aperture radar (SAR) images are stereoscopic and exhibit clear relief, strong performance, and good detection of terrain, landforms, and other information. SAR images have been applied to seismic mechanism research, volcanic monitoring, topographic deformation, and fault analysis. Furthermore, a multi-standard maturity analysis of the geological applications of HR images reveals that optical remote sensing data are superior to radar data for mining, geological disaster, lithologic, and volcanic applications, but inferior for earthquake, glacial, and fault applications. Therefore, it is necessary for geological remote sensing research to be truly multi-disciplinary or inter-disciplinary, ensuring more detailed and efficient surveys through cross-linking with other disciplines. Moreover, the recent application of deep learning technology to remote sensing data extraction has improved the capabilities of automatic processing and data analysis with HR images.
英文关键词	High-spatial-resolution images geology interpreting deep learning remote sensing
类型	Review
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000538416100002
WOS关键词	LANDSAT-TM ; HYPERSPECTRAL DATA ; ALTERATION ZONES ; TOPOGRAPHIC MAP ; EASTERN DESERT ; SPOT-5 ; ASTER ; IMAGES ; EXPLORATION ; EARTHQUAKE
WOS类目	Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic
WOS研究方向	Computer Science ; Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319026
作者单位	1.China Univ Geosci, Geol Survey Inst, 388 Lumo Rd, Wuhan 430074, Hubei, Peoples R China; 2.China Univ Geosci, Fac Comp Sci, 388 Lumo Rd, Wuhan 430074, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Wu, Chunming,Li, Xiao,Chen, Weitao,et al. A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data[J],2020,29(6).
APA	Wu, Chunming,Li, Xiao,Chen, Weitao,&Li, Xianju.(2020).A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data.JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS,29(6).
MLA	Wu, Chunming,et al."A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data".JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS 29.6(2020).