An Object Detection Algorithm with Visual Perception for High-Resolution Remote Sensing Images

doi:10.7652/xjtuxb201806002

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	An Object Detection Algorithm with Visual Perception for High-Resolution Remote Sensing Images
	Li, Ce 1,2; Zhang, Yachao 1; Lan, Tian 1; Du, Shaoyi 2
刊名	Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
	2018-06-10
卷号	52 期号:6 页码:9-16
关键词	Image enhancement Large dataset Neural networks Object detection Object recognition Semantics Signal detection Vision Computing resource Convolutional neural network Correlation suppression Detection approach False alarm probability High resolution remote sensing images Object detection algorithms Remote sensing images
ISSN号	0253987X
DOI	10.7652/xjtuxb201806002
英文摘要	An effective object detection approach with visual perception for high-resolution remote sensing images is proposed to address the problem that the accuracy and speed of existing object detection algorithms of remote sensing images are low, especially in large-scale and high-resolution remote sensing images. Firstly, some sub-regions are selected in the scene using a saliency map, and then transfer computing resources to the area that may contain objects to reduce the computational complexity. Then, pre-selected objects are obtained by a fast learning model YOLO (you only look once). An object semantic association suppress is proposed to screen the pre-selected objects for effective objects. It reduces the interference of false objects for reducing the false alarm probability. Experimental results on NWPU_VHR-10 dataset show that the proposed algorithm is the best, and the mean average precision (mAP) is 86.53%. The results of the proposed algorithm are much better than those of YOLO on LUT_VHRVOC-2 dataset which contains more large-scale and high-resolution remote sensing images. It is concluded that the performance of the high-resolution remote sensing image is improved by the proposed algorithm. © 2018, Editorial Department of Journal of Southwest Jiaotong University. All right reserved.
语种	中文
出版者	Xi'an Jiaotong University
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114446]
专题	兰州理工大学
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an; 710049, China
推荐引用方式 GB/T 7714	Li, Ce,Zhang, Yachao,Lan, Tian,et al. An Object Detection Algorithm with Visual Perception for High-Resolution Remote Sensing Images[J]. Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University,2018,52(6):9-16.
APA	Li, Ce,Zhang, Yachao,Lan, Tian,&Du, Shaoyi.(2018).An Object Detection Algorithm with Visual Perception for High-Resolution Remote Sensing Images.Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University,52(6),9-16.
MLA	Li, Ce,et al."An Object Detection Algorithm with Visual Perception for High-Resolution Remote Sensing Images".Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University 52.6(2018):9-16.