Deep feature representations for high-resolution remote sensing scene classification

4th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2016 - Proceedings

Volumn , Issue , 2016, Pages 338-342

  Zhou, Weixun ^a,b   Shao, Zhenfeng ^a   Cheng, Qimin ^c  

^a WUHAN UNIVERSITY   (China)

^b CHINESE ACADEMY OF SURVEYING AND MAPPING   (China)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

convolutional neural networks; deep feature representation; fine tuning; scene classification; transfer learning

Indexed keywords

BENCHMARKING; CONVOLUTION; NETWORK ARCHITECTURE; NEURAL NETWORKS; OBSERVATORIES;

CONVOLUTIONAL NEURAL NETWORK; FEATURE REPRESENTATION; FINE TUNING; SCENE CLASSIFICATION; TRANSFER LEARNING;

REMOTE SENSING;

EID: 84987949112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EORSA.2016.7552825     Document Type: Conference Paper

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