Method for inland water body extraction fused atrous spatial pyramid pooling

Meilin Li; Jie Rui; Songkun Yang; Li Ma; Shuangjun Chen; Keke Jiang

doi:10.1117/12.2673522

22 May 2023 Method for inland water body extraction fused atrous spatial pyramid pooling

Meilin Li, Jie Rui, Songkun Yang, Li Ma, Shuangjun Chen, Keke Jiang

Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 126400C (2023) https://doi.org/10.1117/12.2673522
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China

Abstract

Water body extraction is a significant direction of application in information monitoring of water resources. Thus, on the basis of high-resolution UAV remote sensing images and self-build inland water body datasets, this paper designs a water body extraction method fused atrous spatial pyramid pooling. First, SegFormer detection network is improved, and the semantic segmentation network is adopted to mine water body semantic information of high-resolution UAV remote sensing images; second, the atrous spatial pyramid pooling decoding module is fused to explore multi-scale contextual information, solve the problems such as feature information loss of water body and deficiency of long-distance information, and come true the coverage of more geometric information whilst responding to semantic features; finally, the semantic segmentation dataset of the inland water body is self-established on the basis of the UAV remote sensing images in Dengzhou, Henan, and the experiment is conducted. Then the validity of the proposed water body extraction method is validated via the comparative ablation experiment with Hrnet, PSPNet, UNet, Deeplabv3+ and the original detection algorithm. According to experimental results, the improved method is superior to the comparative detection methods such as UNet, and has a better effect on the integrity detection of water body edges and the reduction of missing detection and false detection of small water bodies and tributaries.

Citation Download Citation

Meilin Li, Jie Rui, Songkun Yang, Li Ma, Shuangjun Chen, and Keke Jiang "Method for inland water body extraction fused atrous spatial pyramid pooling", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 126400C (22 May 2023); https://doi.org/10.1117/12.2673522

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KEYWORDS

Convolution

Semantics

Remote sensing

Feature extraction

Image segmentation

Ablation

Unmanned aerial vehicles

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