A light and faster regional convolutional neural network for object detection in optical remote sensing images

doi:10.1016/j.isprsjprs.2018.05.005

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	A light and faster regional convolutional neural network for object detection in optical remote sensing images
	Ding, P.; Zhang, Y.; Deng, W. J.; Jia, P.; Kuijper, A.
	2018
发表期刊	Isprs Journal of Photogrammetry and Remote Sensing
ISSN	0924-2716
卷号	141 页码:208-218
摘要	Detection of objects from satellite optical remote sensing images is very important for many commercial and governmental applications. With the development of deep convolutional neural networks (deep CNNs), the field of object detection has seen tremendous advances. Currently, objects in satellite remote sensing images can be detected using deep CNNs. In general, optical remote sensing images contain many dense and small objects, and the use of the original Faster Regional CNN framework does not yield a suitably high precision. Therefore, after careful analysis we adopt dense convoluted networks, a multi-scale representation and various combinations of improvement schemes to enhance the structure of the base VGG16-Net for improving the precision. We propose an approach to reduce the test-time (detection time) and memory requirements. To validate the effectiveness of our approach, we perform experiments using satellite remote sensing image datasets of aircraft and automobiles. The results show that the improved network structure can detect objects in satellite optical remote sensing images more accurately and efficiently.
关键词	Deep convolution neural network Deep learning (DL) Remote sensing images Object detection deep vehicle Physical Geography Geology Remote Sensing Imaging Science & Photographic Technology
DOI	10.1016/j.isprsjprs.2018.05.005
收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/60870
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Ding, P.,Zhang, Y.,Deng, W. J.,et al. A light and faster regional convolutional neural network for object detection in optical remote sensing images[J]. Isprs Journal of Photogrammetry and Remote Sensing,2018,141:208-218.
APA	Ding, P.,Zhang, Y.,Deng, W. J.,Jia, P.,&Kuijper, A..(2018).A light and faster regional convolutional neural network for object detection in optical remote sensing images.Isprs Journal of Photogrammetry and Remote Sensing,141,208-218.
MLA	Ding, P.,et al."A light and faster regional convolutional neural network for object detection in optical remote sensing images".Isprs Journal of Photogrammetry and Remote Sensing 141(2018):208-218.

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