干旱区生态环境知识资源中心(Arid): Faster and Scalable Parallel Processing Solution to Remove Visual Obstacles from Satellite Imagery

Arid

DOI	10.1109/CSCS.2019.00040
	Faster and Scalable Parallel Processing Solution to Remove Visual Obstacles from Satellite Imagery
	Ilie, Andra-Teodora; Filip, Ion-Dorinel; Postoaca, Andrei Vlad; Negru, Catalin; Pop, Florin; Stoica, Adrian; Serban, Florin
通讯作者	Pop, F (corresponding author), Univ Politehn Bucuresti, Dept Comp Sci, Bucharest, Romania.
会议名称	22nd International Conference on Control Systems and Computer Science (CSCS)
会议日期	MAY 28-30, 2019
会议地点	Univ Politehnica Bucharest, Bucharest, ROMANIA
英文摘要	The use of artificial satellites, especially from ESA Copernicus program, created new opportunities for sciences geared toward studying phenomena that have a major impact on our planet, especially anthropogenic phenomena. In this way, accurate measurements and predictions could be made regarding the degree of pollution of land and water, the evolution of deforestation and desertification. However, in order to obtain relevant data from satellite imagery, they must be passed through a procedure to remove visual obstacles, such as clouds, shadows, and sometimes snow. An important drawback of filtering algorithms is the extremely low performance that makes some processing last from a few hours to a few days. This paper attempts to eliminate the major disadvantage of extensive data processing time by proposing a much faster and scalable parallel processing solution. The paper starts from the context setting and the theoretical description of the filtering algorithm used and the main optimization technique, then goes on to detail the actual implementation and ends with the exposition of the results obtained from the extensive qualitative validation and the measurement of the performance indices and efficiency.
英文关键词	Satellite imagery Parallel processing Scalability Optimization Landsat Cloud detection algorithm
来源出版物	2019 22ND INTERNATIONAL CONFERENCE ON CONTROL SYSTEMS AND COMPUTER SCIENCE (CSCS)
ISSN	2379-0474
EISSN	2379-0482
出版年	2019
页码	194-201
ISBN	978-1-7281-2331-8
出版者	IEEE COMPUTER SOC
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000491270300033
WOS关键词	CLOUD SHADOW
WOS类目	Automation & Control Systems ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/370187
作者单位	[Ilie, Andra-Teodora; Filip, Ion-Dorinel; Postoaca, Andrei Vlad; Negru, Catalin; Pop, Florin] Univ Politehn Bucuresti, Dept Comp Sci, Bucharest, Romania; [Pop, Florin] Natl Inst Res & Dev Informat ICI, Bucharest, Romania; [Stoica, Adrian; Serban, Florin] TERRASIGNA, Bucharest, Romania
推荐引用方式 GB/T 7714	Ilie, Andra-Teodora,Filip, Ion-Dorinel,Postoaca, Andrei Vlad,et al. Faster and Scalable Parallel Processing Solution to Remove Visual Obstacles from Satellite Imagery[C]:IEEE COMPUTER SOC,2019:194-201.