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globalchange > 过去全球变化的重建

DOI:	10.2172/1097770
报告号:	LLNL-TR-645052
报告题名:	Benchmark Imagery for Assessing Geospatial Semantic Content Extraction Algorithms Final Report
作者:	White, W T; Pope, P A; Goforth, J W; Gaines, L R; Prasad, L; Hojnacki, S M; Ranken, D R; Roberts, R S
出版年:	2013
发表日期:	2013-10-10
总页数:	77
国家:	美国
语种:	英语
英文摘要:	Abstract not provided
URL:	http://www.osti.gov/scitech/servlets/purl/1097770
Citation statistics:
资源类型:	研究报告
标识符:	http://119.78.100.158/handle/2HF3EXSE/40950
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

Files in This Item:

File Name/ File Size	Content Type	Version	Access	License
1097770.pdf（5460KB）	研究报告	--	开放获取	CC BY-NC-SA	View Download

Recommended Citation:

White, W T,Pope, P A,Goforth, J W,et al. Benchmark Imagery for Assessing Geospatial Semantic Content Extraction Algorithms Final Report. 2013-01-01.

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