Learning large-scale plantation mapping from imperfect annotators

Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

Volumn , Issue , 2016, Pages 1192-1201

  Jia, Xiaowei ^a   Khandelwal, Ankush ^a   Gerber, James ^b   Carlson, Kimberly ^c   West, Paul ^b   Kumar, Vipin ^a  

^a University of Minnesota   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

^c UNIVERSITY OF HAWAII   (United States)

Author keywords

Multi instance Learning; Multiple Annotators; Remote Sensing

Indexed keywords

CLIMATE CHANGE; DEFORESTATION; MAPPING; REMOTE SENSING; SATELLITE IMAGERY;

CONVENTIONAL CLASSIFICATION METHODS; LABELING ACCURACIES; LARGE-SCALE PLANTATIONS; MULTI-INSTANCE LEARNING; MULTIPLE ANNOTATORS; PRECISION AND RECALL; REMOTE SENSING DATA; VISUAL INTERPRETATION;

BIG DATA;

EID: 85015233431     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2016.7840723     Document Type: Conference Paper

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