M-FCN: Effective fully convolutional network-based airplane detection framework

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 8, 2017, Pages 1293-1297

  Yang, Yiding ^a   Zhuang, Yin ^a   Bi, Fukun ^b   Shi, Hao ^c   Xie, Yizhuang ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b NORTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

Fully convolutional network (FCN); Markov random field (MRF); Object detection; Remote sensing

Indexed keywords

AIRCRAFT; CLASSIFICATION (OF INFORMATION); COMPLEX NETWORKS; CONVOLUTION; LABELING; MARKOV PROCESSES; NEURAL NETWORKS; OBJECT DETECTION; PERSONNEL TRAINING; REMOTE SENSING; ROBUSTNESS (CONTROL SYSTEMS);

ADAPTATION MODELS; AIRPLANE DETECTIONS; ATMOSPHERIC MODEL; CONVOLUTIONAL NETWORKS; CONVOLUTIONAL NEURAL NETWORK; LOCATION ACCURACY; MARKOV RANDOM FIELDS; REMOTE SENSING IMAGING;

STRUCTURAL FRAMES;

EID: 85021837035     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2017.2708722     Document Type: Article

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