REVIEW: SEGMENTATION ALGORITHMS FOR CLOUD DETECTION

Abstract

W eather Prediction such as flood detection, storm detection, rainfall prediction and variety of other remote sensing applications depend upon the analysis of weather images. But they consist large data set which is difficult to process as a whole. So, Image Segmentation is often pre processing step for such applications. Segmentation is done in order to simplify the demonstration of image into something that is significant and easier to examine and observe. Cloud is the major obstacle to analyze data in the weather images as clouds do not possess any exact structure or shape. Also it is broadly recognized that cloud determination is the precondition for deriving information for climate models and climate prediction. That is why it is important and challenging issue to distinguish cloud and sky. In this paper, various existing image Segmentation algorithms for Sky/Cloud detection are reviewed.

Authors and Affiliations

Harinder Kaur , Neelofar Sohi

Keywords

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  • EP ID EP116950
  • DOI -
  • Views 74
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How To Cite

Harinder Kaur, Neelofar Sohi (30). REVIEW: SEGMENTATION ALGORITHMS FOR CLOUD DETECTION. International Journal of Engineering Sciences & Research Technology, 4(6), 760-767. https://europub.co.uk/articles/-A-116950