In today’s world, images have been generated from various sources like camera, Satellites, CCTV, and X-rays etc. The images which are collected shall provide lot of information if processed properly. It is the crucial task of segregating the data from an image, especially when working with large data sets. The image should be pre-processed and categorized through clustering algorithms. In image analysis, the clustering and classification are the two fundamental tasks. In this paper the DBSCAN algorithm has been applied on aerial digital images to categorize them accordingly for flight runway detection. Detection of snowfall in airport runway is the crucial task. The aerial images are gathered from various flight run way occurrence with snowfall as background situations.

DBSCAN, Aerial image, Clustering, Machine Learning

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