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CLOUD IDENTIFICATION FROM MULTITEMPORAL LANDSAT-8 USING K-MEANS CLUSTERING
International Journal of Remote Sensing and Earth Sciences (IJReSES)
In the processing and analysis of remote-sensing data, cloud that interferes with earth-surface data is still a challenge. Many methods have already been developed to identify cloud, and these can be classified into two categories: single-date and multi-date identification. Most of these methods also utilize the thresholding method which itself can be divided into two categories: local thresholding and global thresholding. Local thresholding works locally and is different for each pixel, whiledoi:10.30536/j.ijreses.2019.v16.a3285 fatcat:p5c4l5yshrhohpt6jfwlgwzi2i