您当前的位置：
首页 >
文章列表页 >
Detection Method for Cartographic Symbol Space Conflict Based on Convolution Neural Network
Graphic and Image Processing | 更新时间：2025-05-21

    • Detection Method for Cartographic Symbol Space Conflict Based on Convolution Neural Network

    • “The latest research progress shows that experts have designed convolutional neural network models that effectively detect symbol space conflicts caused by changes in map scale through data augmentation and equalization methods, improving the efficiency of map information transmission.”
    • Software Guide   Vol. 24, Issue 5, Pages: 194-199(2025)

    • DOI：10.11907/rjdk.232256    

      CLC： TP183

    • Received：08 December 2023，

      Published：15 May 2025

    移动端阅览

  • DAI Tao,CAI Wuyi,QIN Xiaoli,et al.Detection Method for Cartographic Symbol Space Conflict Based on Convolution Neural Network[J].Software Guide,2025,24(05):194-199. DOI： 10.11907/rjdk.232256.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

An Improved Faster R-CNN Vehicle Recognition Algorithm
Image Recognition Technology of Seedling-lacking and Drifting Seedlings Based on CNN Algorithms
Low-frequency Information of Wavelet Transform and Static Gesture Recognition of Xception Network
Image Noise Reduction Method Based on Asymmetric Convolution and Complex Receptive Field Structure

Related Author

Yun-fei ZHU
Tian-tian ZHE
Qing-hua LIU
ZHAO De-an
ZHAO Huang-ye
WANG Xue-hui
ZHAO Yue-peng
WANG Jia-wei

Related Institution

School of Electronics and Information， Jiangsu University of Science and Technology
School of Electrical Information Engineering，Jiangsu University
School of Information Science and Technology， Zhejiang Sci-Tech University
Faculty of Mechanical Engineering & Automation， Zhejiang Sci-Tech University
Faculty of Science， Kunming University of Science and Technology
0