Fw-U-Net: a new satellite image segmentation of forest and water based on U-Net structure

Wentao Wang; Xuanyao Huang; Mingjie Liu

doi:10.1117/12.2659359

22 November 2022 Fw-U-Net: a new satellite image segmentation of forest and water based on U-Net structure

Wentao Wang, Xuanyao Huang, Mingjie Liu

Proceedings Volume 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022); 124750A (2022) https://doi.org/10.1117/12.2659359
Event: Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022, Hulun Buir, China

Abstract

As global environmental problems are becoming more and more serious, satellite image segmentation and automatic monitoring of forests and water bodies are becoming more and more important in order to prevent natural disasters and monitor natural conditions, including monitoring deforestation and areas affected by floods. In this paper, the traditional U-Net model is improved and a FW-U-Net model suitable for forest water segmentation is proposed. After verification, the segmentation verification scores of the forest coverage area and water area performance test set are 84.37% (83.65%) and 87.92% (85.42%) respectively, which has high accuracy and reference value for forest and water satellite image segmentation.

Citation Download Citation

Wentao Wang, Xuanyao Huang, and Mingjie Liu "Fw-U-Net: a new satellite image segmentation of forest and water based on U-Net structure", Proc. SPIE 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 124750A (22 November 2022); https://doi.org/10.1117/12.2659359

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KEYWORDS

Image segmentation

Satellite imaging

Satellites

Earth observing sensors

Data modeling

Network architectures

Image processing

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