Corner points localization in electronic topographic maps with deep neural networks

文献类型： 外文期刊

第一作者： Dong, Luan

作者： Dong, Luan;Chang, Hongxia;Yan, Qin;Dong, Luan;Zheng, Fengling;Zheng, Fengling

作者机构：

关键词： Topographic map;Computer vision;Deep neural networks;Object detection;Geometric calibration

期刊名称：EARTH SCIENCE INFORMATICS （ 影响因子：2.878； 五年影响因子：2.543 ）

ISSN： 1865-0473

年卷期： 2018 年 11 卷 1 期

页码：

收录情况： SCI

摘要： Digitized topographic maps normally have to go through the geometric calibration before practical utilization. Nowadays, the reference points for the calibration are still manually assigned. Corner points (graticule intersections) in a map are usually good candidates in favor of the reference points. This paper proposes an algorithm for automatically locating the corner points in the electronic topographic maps by detecting the specific rectangle objects in the map corners. It assigns the probabilities to each row and column in the region of interests (RoIs) to provide information regarding the location of the objects. In order to facilitate the object detection with high level visual features, the deep neural networks (DNNs) are employed in the proposed algorithm. For the object proposal, the sliding window scheme is adopted. The experimental results indicate that the proposed approach outperforms the conventional bounding-box regression method in both detection and localization accuracy. For the proposed algorithm, the average F1 score in the object detection is 0.91, which is 12% higher than the conventional model. The mean Euclidean distance between the predicted corner points and the ground-truth by the proposed algorithm is 2.22 pixels, 35.8% lower compared with the regression based model.

分类号：

  • 相关文献

[1]Design and Experiment of a Sorting System for Haploid Maize Kernel. Song, Peng,Wang, Cheng,Luo, Bin,Zhang, Han,Zhang, Jun Xiong. 2018

[2]Research on tomato seed vigor based on X-ray digital image. Zhao Xueguan,Gao Yuanyuan,Wang Xiu,Li Cuiling,Wang, Songlin,Feng Qingcun,Zhao Xueguan,Gao Yuanyuan,Wang Xiu,Li Cuiling,Wang, Songlin,Feng Qingcun,Zhao Xueguan,Gao Yuanyuan,Wang Xiu,Li Cuiling,Wang, Songlin,Feng Qingcun. 2016

[3]Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review. Zhang, Baohua,Huang, Wenqian,Li, Jiangbo,Zhao, Chunjiang,Fan, Shuxiang,Wu, Jitao,Zhang, Baohua,Zhao, Chunjiang,Liu, Chengliang. 2014

[4]MOBILE SMART DEVICE-BASED VEGETABLE DISEASE AND INSECT PEST RECOGNITION METHOD. Wang, Kaiyi,Zhang, Shuifa,Wang, Zhibin,Liu, Zhongqiang,Yang, Feng,Wang, Kaiyi,Zhang, Shuifa,Wang, Zhibin,Liu, Zhongqiang,Yang, Feng. 2013

[5]Selective Cultivation and Rapid Detection of Staphylococcus aureus by Computer Vision. Wang, Yong,Yin, Yongguang,Zhang, Chaonan,Wang, Yong. 2014

[6]Design and Implementation of an Automatic Grading System of Diced Potatoes Based on Machine Vision. Wang, Chaopeng,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping. 2016

[7]Outdoor color rating of sweet cherries using computer vision. Wang, Qi,Wang, Hui,Xie, Lijuan,Zhang, Qin,Wang, Hui,Xie, Lijuan.

[8]A Novel Approach for Retrieving Tree Leaf Area from Ground-Based LiDAR. Yun, Ting,An, Feng,Yun, Ting,Xue, Lianfeng,Li, Weizheng,Sun, Yuan,Cao, Lin. 2016

[9]Rapid methods for detecting acrylamide in thermally processed foods: A review. Hu, Qinqin,Fu, Yingchun,Li, Yanbin,Xu, Xiahong,Li, Yanbin.

[10]Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier. Zhang, Baohua,Gong, Liang,Zhao, Chunjiang,Liu, Chengliang,Huang, Danfeng,Zhang, Baohua,Huang, Wenqian,Li, Jiangbo,Zhao, Chunjiang.

[11]Computer vision recognition of stem and calyx in apples using near-infrared linear-array structured light and 3D reconstruction. Zhang, Baohua,Gong, Liang,Zhao, Chunjiang,Liu, Chengliang,Huang, Danfeng,Huang, Wenqian,Wang, Chaopeng,Zhao, Chunjiang,Huang, Wenqian,Wang, Chaopeng,Zhao, Chunjiang,Huang, Wenqian,Wang, Chaopeng,Zhao, Chunjiang,Huang, Wenqian,Wang, Chaopeng,Zhao, Chunjiang.

作者其他论文 更多>>

微信小程序