Groundwater hydrology

The multiscale modeling we describe in this dissertation has been employed in a wide variety of applications , including : geophysical remote sense imaging , ocean height estimation , surface reconstruction , image denoising , texture discrimination , image segmentation , object recognition and multisensor fusion for groundwater hydrology .

目前，多尺度模型技术已在地形遥感成像、海洋高度估计、地表重构、图像去噪、纹理辨识、图像分割、目标识别和地下水文学的多传感器数据融合等实际问题中得到了广泛的应用。

Most optimization algorithms used for parameter estimation in groundwater hydrology are gradient-type methods that have the disadvantages of being very sensitive to the initial guesses of parameters and being prone to converge to local minima .

地下水模型参数识别最常用的优化方法都是基于梯度搜索，其缺陷在于对模型参数初始估计比较敏感和局部极小问题。