Big Data for Remote Sensing: Challenges and Opportunities

Proceedings of the IEEE

Volumn 104, Issue 11, 2016, Pages 2207-2219

  Chi, Mingmin ^a,b   Plaza, Antonio ^c   Benediktsson, Jon Atli ^d   Sun, Zhongyi ^a   Shen, Jinsheng ^a   Zhu, Yangyong ^a  

^a FUDAN UNIVERSITY   (China)

^b Chongqing Institute of Geology and Mineral Resources   (China)

^c UNIVERSITY OF EXTREMADURA   (Spain)

^d UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Big data; big data challenges; big data life cycle; big data opportunities; high performance computing (HPC); remote sensing

Indexed keywords

BIG DATA; CLIMATE CHANGE; HAZARDS; INTERNATIONAL TRADE; LIFE CYCLE; MARINE POLLUTION; OIL SPILLS;

CONTENT-BASED INFORMATION RETRIEVAL; DATA CHALLENGES; DATA LIFE CYCLE; GLOBAL CLIMATE CHANGES; HIGH PERFORMANCE COMPUTING (HPC); REMOTE SENSING APPLICATIONS; REMOTE SENSING IMAGES; REMOTELY SENSED DATA;

REMOTE SENSING;

EID: 84994297166     PISSN: 00189219     EISSN: 15582256     Source Type: Journal    
DOI: 10.1109/JPROC.2016.2598228     Document Type: Article

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