A Preferred Method Research of Transmission Line Route Based on Intelligent Image Recognition

Author:

Li Wei1,Gu Songlin2,Liu Li1,Lang Yao3,Liu Xinchen4,Wen Kang1

Affiliation:

1. Powerchina Sichuan Electric Power Engineering Co., LTD.,Power Grid Digital Design Department,Chengdu,China

2. State Grid Economic and Technological Research Institute Co., LTD.,Administration office,Beijing,China

3. Powerchina Sichuan Electric Power Engineering Co., LTD.,Geographic Information Center Department,Chengdu,China

4. Powerchina Sichuan Electric Power Engineering Co., LTD.,Power Grid budget Department,Chengdu,China

Publisher

IEEE

Reference11 articles.

1. Learning Deconvolution Network for Semantic Segmentation

2. Road Extraction by Deep Residual U-Net[J];zhang;IEEE Geoscience & Remote Sensing Letters,2017

3. Shortest Path Algorithms:Taxonomy and Advance in Research[J];feng;Acta Geodaetica et Cartographica Sinica,2001

4. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition[J];he;IEEE Transactions on Pattern Analysis and Machine Intelligence,2015

5. Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

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