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首页> 外文会议>International conference on graphic and image processing >An Efficient Cloud Detection Method for High Resolution Remote Sensing Panchromatic Imagery
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An Efficient Cloud Detection Method for High Resolution Remote Sensing Panchromatic Imagery

机译：高分辨率遥感全色影像的高效云探测方法

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摘要

In order to increase the accuracy of cloud detection for remote sensing satellite imagery, we propose an efficient cloud detection method for remote sensing satellite panchromatic images. This method includes three main steps. First, an adaptive intensity threshold value combined with a median filter is adopted to extract the coarse cloud regions. Second, a guided filtering process is conducted to strengthen the textural features difference and then we conduct the detection process of texture via gray-level co-occurrence matrix based on the acquired texture detail image. Finally, the candidate cloud regions are extracted by the intersection of two coarse cloud regions above and we further adopt an adaptive morphological dilation to refine them for thin clouds in boundaries. The experimental results demonstrate the effectiveness of the proposed method.
机译：为了提高遥感卫星图像云检测的准确性，我们提出了一种有效的遥感卫星全色图像云检测方法。该方法包括三个主要步骤。首先，采用自适应强度阈值结合中值滤波器来提取粗云区域。其次，进行引导滤波处理以增强纹理特征差异，然后基于获取的纹理细节图像，通过灰度共生矩阵进行纹理检测。最后，通过上面两个粗云区域的交集提取候选云区域，然后我们进一步采用自适应形态学膨胀对边界中的薄云进行细化。实验结果证明了该方法的有效性。

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