Human Settlements: A Global Challenge for EO Data Processing and Interpretation

被引:53
作者
Gamba, Paolo [1 ]
机构
[1] Univ Pavia, Dipartimento Elettron, I-27100 Pavia, Italy
关键词
Data fusion; urban areas; urban remote sensing; DATA-FUSION; SAR; EXTRACTION; INFORMATION; PERFORMANCE; ALGORITHMS; IMAGERY; ISSUE;
D O I
10.1109/JPROC.2012.2189089
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The availability of fine spatial resolution earth observation (EO) data has been always considered as a plus for human settlement monitoring from space. It calls, however, for new and efficient data processing tools, capable to manage huge data amounts and provide information for urban area monitoring, management, and protection. Issues related to data processing at the global level imply multiple-scale processing and a focused data interpretation approach, starting from human settlement delineation using spatial information and detailing down to material identification and object characterization using multispectral and/or hyperspectral data sets. This paper attempts to provide a consistent framework for information processing in urban remote sensing, stressing the need for a global approach able to exploit the detailed information available from EO data sets.
引用
收藏
页码:570 / 581
页数:12
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