We provided a new method of remote sensing image multiscale edge segmentation based on invariant moment.
面对海量遥感数据，准确、高效的分割方法是必须的，因此提出了遥感图像多尺度边缘分割的方法。
A method of calculating wavelet transformation filter coefficients for multiscale edge detection is given in this paper, and the efficiency of the method is clarified.
提出了一种用于多尺度边缘检测的小波变换滤波器系数的计算方法，并且以具体例子进行了检验，表明了该方法的有效性。
The principle of multiscale edge detection by wavelets is presented firstly, and the multiscale edges of the earth's gravity field are analyzed with the EGM96 model as an example.
简要介绍了小波多尺度边缘检测的基本原理，以EGM96重力场模型为例分析了地球重力场的多尺度边缘。
This dissertation has studied the segmentation method of remote sensing image based on multiscale edge, based on wavelet, invariant moment and the edge detection technique of remote sensing image.
本文以小波分析、不变矩等数学理论和遥感图像边缘检测技术为研究背景，较深入地进行了遥感图像多尺度边缘分割的方法研究。
This dissertation has studied the segmentation method of remote sensing image based on multiscale edge, based on wavelet, invariant moment and the edge detection technique of remote sensing image.
本文以小波分析、不变矩等数学理论和遥感图像边缘检测技术为研究背景，较深入地进行了遥感图像多尺度边缘分割的方法研究。
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