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相对单波段灰度影像而言,多波段高空间分辨率遥感影像中可用于边缘检测的光谱信息更加丰富。鉴于Canny算子在灰度图像边缘检测中的优越性能,本文利用输出融合策略对其适用于高空间分辨率遥感影像矢量边缘检测作了改进。基于可视化开发平台VC++.NET,编程实现了福州市航拍的高空间分辨率遥感影像红绿蓝三个标准波段在RGB、IHS、Y IQ、YUV、C IELUV色彩空间中对各种地物矢量边缘信息的有效提取。对高空间分辨率遥感影像矢量边缘各分量的分析认为,由于波谱范围差异的影响,在上述色彩空间中不同地物类型边缘检测时响应程度具有显著的不同。本文研究结果表明,该算法参数设置和色彩空间选择对高空间分辨率遥感影像矢量边缘信息提取有较大的影响。
Relative to the single-band gray-scale image, the spectral information available for edge detection in multi-band high spatial resolution remote sensing images is more abundant. In view of the superiority of Canny operator in grayscale image edge detection, this paper uses output fusion strategy to improve its application to vector edge detection of high spatial resolution remote sensing image. Based on the visual development platform VC ++. NET, the programming of the high spatial resolution remote sensing image of Fuzhou aerial photography has been realized in three color bands of RGB, IHS, Y IQ, YUV and C IELUV. Effective information extraction. The analysis of the components of the vector edge of high spatial resolution remote sensing imagery thinks that there are significant differences in the response of different types of object edge detection in the above color space due to the difference of spectral range. The results of this paper show that the algorithm parameter setting and color space selection have great influence on vector edge information extraction of high spatial resolution remote sensing image.