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Updated: Jun 25, 2026

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从卫星图像中识别水体,使用混合进化算法优化的U-Net框架.

Yue Yuan1,2, Peiyang Wei1,3,4, Zhixiang Qi3

  • 1School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

Biomimetics (Basel, Switzerland)
|November 26, 2025
PubMed
概括

本研究引入了一种完全自动化的深度学习框架,用于在卫星图像中识别水体. 该方法显著提高了环境监测和灾害管理的准确性和自动化.

关键词:
深度学习是一种深度学习.进化算法是指进化的算法.超参数优化超参数优化远程传感是一种遥感技术.语义细分 语义细分 语义细分 语义细分水体的识别水体的识别

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Uniform Depth Channel Flow: Problem Solving01:18

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To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...