FCC-Net: A Full-Coverage Collaborative Network for Weakly Supervised Remote Sensing Object Detection

With an ever-increasing resolution of optical remote-sensing images, how to extract information from these images efficiently and effectively has gradually become a challenging problem. As it is prohibitively expensive to label every object in these high-resolution images manually, there is only a s...

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Bibliographic Details
Published in:	Electronics (Basel) Vol. 9; no. 9; p. 1356
Main Authors:	Chen, Suting, Shao, Dongwei, Shu, Xiao, Zhang, Chuang, Wang, Jun
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2020
Subjects:	Ablation Accuracy Algorithms Boxes Classification Collaboration Datasets Detection Feature extraction Ground truth High resolution Image resolution Interdisciplinary subjects Labels Machine learning Neural networks Object recognition Remote sensing Scale invariance Semantics Sensors Training
ISSN:	2079-9292, 2079-9292
Online Access:	Get full text
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