UHGAN: a dual-phase GAN with Hough-transform constraints for accurate farmland road extraction

The results demonstrate that our approach effectively mitigates the issues of discontinuous extraction caused by the complex geometric shapes and partial occlusion characteristic of farmland roads. The integration of Hough-transform loss, an technique that has received limited attention in prior studies, proves to be highly beneficial. This method shows considerable promise for practical applications in rural infrastructure planning and precision agriculture.

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Publication Details

Journal
Frontiers in Neurorobotics
Published
2025-10-13
DOI
https://doi.org/10.3389/fnbot.2025.1691300
Primary Topic
Automated Road and Building Extraction
Type
article
Field-Weighted Citation Impact
0.00
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article

UHGAN: a dual-phase GAN with Hough-transform constraints for accurate farmland road extraction

Yuan Ma, Xinliang Wang
Frontiers in Neurorobotics
Automated Road and Building Extraction
article

UHGAN: a dual-phase GAN with Hough-transform constraints for accurate farmland road extraction

Yuan Ma, Xinliang Wang
article en

Abstract

The results demonstrate that our approach effectively mitigates the issues of discontinuous extraction caused by the complex geometric shapes and partial occlusion characteristic of farmland roads. The integration of Hough-transform loss, an technique that has received limited attention in prior studies, proves to be highly beneficial. This method shows considerable promise for practical applications in rural infrastructure planning and precision agriculture.

Frontiers in NeuroroboticsVol. 19
Huzhou Normal University (CN), Zhejiang University of Water Resource and Electric Power (CN)
Openalex Percentile: Top 64%
Automated Road and Building Extraction
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