DRA-Net: A Dual-Branch Residual Attention Network for Pixelwise Power Line Detection

Author:

Yang Lei1ORCID,Kong Shuyi1ORCID,Deng Jiahui1ORCID,Li Heng1ORCID,Liu Yanhong1ORCID

Affiliation:

1. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China

Funder

National Natural Science Foundation of China

National Key Research and Development Project of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference48 articles.

1. Automatic extraction of power lines from mobile laser scanning data;guan;Proc IEEE Geosci Remote Sens Symp,2014

2. Attention U-Net: Learning where to look for the pancreas;oktay;arXiv 1804 03999,2018

3. Comparison of UAV photograph-based and airborne lidar-based point clouds over forest from a forestry application perspective

4. Efficient Parallel Branch Network With Multi-Scale Feature Fusion for Real-Time Overhead Power Line Segmentation

5. A method for detecting power lines in UAV aerial images

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