Deletion of Thick Clouds from Landsat images using Super Pixel Segmentation and Neighbour Embedding Techniques

R. Thendral, S. Revathi
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Abstract

The data can be missed in the image which are taken from the satellite due to covering of cloud in some places of image. This can reduce the usability of the image. Several methods can solve this accurately, but the method is not effective due to the requirement of multiple images to give the single clear image without cloud. Right now, propose a system called super pixel segmentation and neighbour embedding technique to remove the clouds placed in the images using the single image. This method works effectively using image processing and give the very accurate image. Experiment result can be obtained using satellite images.
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利用超像素分割和邻域嵌入技术删除陆地卫星图像中的厚云
在卫星拍摄的图像中,由于某些地方被云层覆盖,可能会出现数据丢失的情况。这会降低图像的可用性。有几种方法可以准确地解决这一问题,但由于多幅图像需要给出单幅清晰的无云图像,因此该方法效果不佳。目前,提出了一种超像素分割和邻域嵌入技术,利用单幅图像去除图像中的云。该方法有效地利用了图像处理技术,得到了非常精确的图像。实验结果可以利用卫星图像得到。
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