Airport Detection Based on a Multiscale Fusion Feature for Optical Remote Sensing Images

IEEE Geoscience and Remote Sensing Letters

Volumn 14, Issue 9, 2017, Pages 1469-1473

  Xiao, Zhifeng ^a   Gong, Yiping ^a   Long, Yang ^a   Li, Deren ^a   Wang, Xiaoying ^b   Liu, Hua ^a  

^a WUHAN UNIVERSITY   (China)

^b QINGHAI UNIVERSITY   (China)

Author keywords

Convolutional neural network (CNN); GoogleNet light feature (GoogleNet LF); hard negative mining (HNM); multiscale deep fusion feature; remote sensing airport detection

Indexed keywords

AIRPORTS; IMAGE FUSION; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MILITARY PHOTOGRAPHY; MINING; NEURAL NETWORKS; OBJECT DETECTION; REMOTE SENSING; SUPPORT VECTOR MACHINES;

AIRPORT DETECTIONS; CONVOLUTIONAL NEURAL NETWORK; FUSION FEATURES; GOOGLENET-LIGHT FEATURE (GOOGLENET-LF); NEGATIVE MININGS; ROADS;

FEATURE EXTRACTION;

EID: 85028920597     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2017.2712638     Document Type: Article

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