针对传统分水岭变换对图像进行分割时常见的过度分割情况，提出了利用先验知识对梯度幅度图像进行处理的方法。
Using knowledge which has been known beforehand in Grads Range, this paper proposes an image segmentation method which can solve the problem.
针对传统分水岭变换对图像进行分割时常见的过度分割情况，提出了利用先验知识对梯度幅度图像进行处理的方法。
The images gradient magnitude mean and the variance of every pixel in the image relative to the gradient magnitude mean are calculated according to the method proposed in the paper.
由于改进的模型中增加了三个定标参数，因此能够同时实现多航带幅度图像以及数字高程模型(dem)的联合平差。
Because of adding 3 calibration parameters, the block adjustment of amplitude images and Digital Elevation Model (DEM) could be actualized at the same time.
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