Water body recognition method based on improved encoder-decoder structure

Guolei He; Rui Liu; Jingsong Gou; Ao Zhang

doi:10.1117/12.3035329

19 July 2024 Water body recognition method based on improved encoder-decoder structure

Guolei He, Rui Liu, Jingsong Gou, Ao Zhang

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132131T (2024) https://doi.org/10.1117/12.3035329
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

Fast and correct identification of water body information from remotely sensed images is important for water resource management and disaster prevention. In this paper, the semantic segmentation network for water body recognition is improved based on the encoder-decoder structure, specifically, based on the DeepLabv3+ model, HRNetV2 model was added to the encoder instead of the original backbone network, and a new attention mechanism CBAM was added to the network model to better obtain channel relationships in the image. This study conducted experiments on water body data using the improved model. After comparing the results with other networks, it was found that the improved model in this study has better accuracy in water body recognition, further improving the effectiveness of identifying water bodies from remote sensing images. It is of great significance for quickly and accurately extracting water body information, flood analysis, and water resource management.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Guolei He, Rui Liu, Jingsong Gou, and Ao Zhang "Water body recognition method based on improved encoder-decoder structure", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132131T (19 July 2024); https://doi.org/10.1117/12.3035329

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KEYWORDS

Data modeling

Education and training

Remote sensing

Image segmentation

Performance modeling

Semantics

Feature extraction

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