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Updated: Mar 11, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
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缩小基于形态参数的卫星图像的空间分辨率,以使用GIS工具估计地形湿度指数

Haider Shabbir1, Muhsan Ehsan2, Danish Raza3,4

  • 1Department of Earth and Environmental Sciences, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad, 44000, Pakistan.

Scientific reports
|March 10, 2026
PubMed
概括

霍普菲尔德神经网络 (HNN) 下调技术提供了最准确的数字海拔模型 (DEM) 形态参数,用于预测山区的山体滑坡危险. 与其他技术相比,这种方法显著提高了准确性.

关键词:
数字升高模型的数字升高模型霍普菲尔德神经网络是一个神经网络.群众运动群众运动.地形特征 地形特征.

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