从图像信号的能量角度出发，探讨一种基于频谱段能量的高分辨率遥感图像边缘检测的方法。该方法采用滑动窗口傅里叶变换和频谱能量分段叠置的手段，将含有噪声的图像信号分解到不同的频谱段中，然后根据直流中心频谱段图像良好的噪声抑制特性，在此基础上进一步分析其高阶频谱段能量对图像边缘特征的贡献作用，将3×3的滑动子窗口中频谱半径为1～1.5范围内的频谱能量系数进行求和叠置，并量化至0～255的灰度范围，得到最终的边缘检测图像。试验结果表明，基于频谱能量所检测出的图像边缘特征响应较为显著，视觉效果尚可，并且具有特定方向上的边缘检测能力。%In view of the characteristics of high-resolution remotely sensed imagery,a novel edge feature detection algorithm based on frequency spectrum zone energy is introduced. From the perspective of energy of image signal, the methods of sliding-window Fourier transformation and frequency energy sectional superposition are used to decompose signal into different frequency spectrum zones. Then according to good noise suppression capacity of DC（direct current） central frequency spectrum zone image,contribution degree of higher-order frequency spectrum zone energy to the image edge feature was further analysed. Finally, the edge detection results are obtained through aggregating spectrum energy coefficient within each window radius of frequency spectrum range from 1 to 1.5 and quantizing image gray between 0-255. The experimental results shows that this algorithm remains good edge of image and has good capability of edge detection in a specific direction as well.
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