An approach of removing thick cloud and cloud shadow in remote sensing image based on support vector machine is suggested.
提出一种基于支持向量机的遥感影像厚云及云阴影去除方法。
Firstly, the learning ability of support vector machine is used to detect cloud in remote sensing image, and combining the information of solar Angle, cloud shadow area is detected.
首先利用支持向量机的学习性能检测影像中的云层,并利用太阳角度信息,判定云阴影区域,得到云层和云阴影的二值图。
Firstly, the learning ability of support vector machine is used to detect cloud in remote sensing image, and combining the information of solar Angle, cloud shadow area is detected.
首先利用支持向量机的学习性能检测影像中的云层,并利用太阳角度信息,判定云阴影区域,得到云层和云阴影的二值图。
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