A CLOUD SHADOW DETECTION BASED ON C1C2C3 AND LAB COLOR MODEL IN SATELLITE AERIAL IMAGE

Niketan Balar, Hetal Bhaidasna, Zubin Bhaidasna

Abstract


Shadow is creating because the light source blocked by any object. Clouds and cloud shadows are absolutely common in satellite captured images. Cloud Shadows degenerate quality of images and affect the information so the correct image analysis it is important to detect a cloud shadow and claim the misplaced information. Thus, cloud Shadow detection in real scene images is a challenging but interesting area. The main aim of this paper is to provide a methodology for estimation and detection of cloud shadows region in images. The proposed method takes advantage of C1C2C3 & LAB color model and fuzzy & L segmentation.

Keywords


Image enhancement, Cloud shadow detection, Color model information, Segmentation, Canny edge detection.

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References


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