Object detection in satellite imagery using 2-step convolutional neural networks

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2018-July, Issue , 2018, Pages 1268-1271

  Miyamoto, Hiroki ^a   Uehara, Kazuki ^a   Murakawa, Masahiro ^a   Sakanashi, Hidenori ^a   Nosato, Hirokazu ^a   Kouyama, Toru ^a   Nakamura, Ryosuke ^a  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

Convo lutional neural networks; Golf course; Negative mining; Object detection; Remote sensing

Indexed keywords

CONVOLUTION; DEEP LEARNING; GEOLOGY; NEURAL NETWORKS; OBJECT RECOGNITION; RECREATIONAL FACILITIES; REMOTE SENSING; SATELLITE IMAGERY; SPORTS;

CONVOLUTIONAL NEURAL NETWORK; EFFICIENT OBJECT DETECTIONS; GOLF COURSE; HIGH-PRECISION; LEARNING METHODS; NEGATIVE MININGS; OBJECT IDENTIFICATION; TARGET OBJECT;

OBJECT DETECTION;

EID: 85064189947     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2018.8518587     Document Type: Conference Paper

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