Research on road extraction model of remote sensing image based on the fused convolutional module and attention mechanism

Jing Feng; Weiming Li

doi:10.1117/12.2684356

1 August 2023 Research on road extraction model of remote sensing image based on the fused convolutional module and attention mechanism

Jing Feng, Weiming Li

Author Affiliations +

Proceedings Volume 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023); 127540G (2023) https://doi.org/10.1117/12.2684356
Event: 2023 3rd International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 2023, Hangzhou, China

Abstract

As an important feature element in remote sensing images, road network extraction in remote sensing images has become a research hotspot for scholars at home and abroad. With the development of deep learning, road extraction based on the convolutional neural network has achieved certain results. However, due to the complexity of the road environment, it is still difficult to quickly and accurately separate the road content from the surrounding land cover from the high-resolution remote sensing images. In this paper, we make improvements based on the LinkNet network to address the above problems: firstly, in the coding layer part, we design a new fused convolutional module to replace the original residual module in the coding layer, and use multiple small convolutional kernel networks to stack instead of large convolutional kernel networks to improve the operation efficiency of the model; secondly, we introduce an attention mechanism to enhance the focus on road regions and suppress the influence of background regions on road target The second, the attention mechanism is introduced to enhance the attention to the road region and suppress the influence of background region on the road target segmentation.

Citation Download Citation

Jing Feng and Weiming Li "Research on road extraction model of remote sensing image based on the fused convolutional module and attention mechanism", Proc. SPIE 12754, Third International Conference on Computer Vision and Pattern Analysis (ICCPA 2023), 127540G (1 August 2023); https://doi.org/10.1117/12.2684356

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