論文

査読有り
2014年

CHALLENGES AND OPPORTUNITIES OF MULTIMODALITY AND DATA FUSION IN REMOTE SENSING

2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)
  • M. Dalla Mura
  • ,
  • S. Prasad
  • ,
  • F. Pacifici
  • ,
  • P. Gamba
  • ,
  • J. Chanussot

開始ページ
106
終了ページ
110
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
出版者・発行元
IEEE

Remote sensing is one of the most common ways to extract relevant information about the Earth through observations. Remote sensing acquisitions can be done by both active (SAR, LiDAR) and passive (optical and thermal range, multispectral and hyperspectral) devices. According to the sensor, diverse information of Earth's surface can be obtained. These devices provide information about the structure (optical, SAR), elevation (LiDAR) and material content (multi- and hyperspectral). Together they can provide information about land use (urban, climatic changes), natural disasters (floods, hurricanes, earthquakes), and potential exploitation (oil fields, minerals). In addition, images taken at different times can provide information about damages from floods, fires, seasonal changes etc. In this paper, we sketch the current opportunities and challenges related to the exploitation of multimodal data for Earth observation. This is done by leveraging the outcomes of the Data Fusion contests (organized by the IEEE Geoscience and Remote Sensing Society) which has been fostering the development of research and applications on this topic during the past decade.

Web of Science ® 被引用回数 : 5

リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000393420200022&DestApp=WOS_CPL

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