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The edge detection of hyperspectral image based on its proportion image

机译:基于其比例图像的高光谱图像的边缘检测

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Intensity-based edge detectors cannot distinguish whether an edge is caused by material changes. Therefore, our aim is to classify the physical cause of an edge using hyperspectral obtained by a spectrograph. A method is presented to detect edges in hyperspectral images. Analyzing proportion images of a hyperspectral image, we implement edge detection of the hyperspectral image by using its proportion images. In edge part of hyperspectral image, the endmembers proportion of mixed pixels is very small value. Edge detection can be implemented through these the distinctness of endmember proportion in edge part. The method of edge detection is called edge detection based proportion image about hyperspectral images.
机译:基于强度的边缘探测器无法区分边缘是由材料改变引起的。 因此,我们的目标是使用光谱仪获得的高光谱来分类边缘的物理原因。 提出了一种方法以检测高光谱图像中的边缘。 分析高光谱图像的比例图像,通过使用其比例图像来实现高光谱图像的边缘检测。 在高光谱图像的边缘部分中,混合像素的端部比例的比例非常小。 边缘检测可以通过边缘部分中的端部比例的比例的明显性来实现。 边缘检测方法称为基于边缘检测的比例图像关于高光谱图像。

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