WATER SOURCE DETECTION USING SATELLITE IMAGE PROCESSING
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Abstract
Water resources have a major impact in different day-to-day activities. Whether it is consuming water or for commercial purposes, gallons of water are used all over the world. In order to use the resource to the fullest, it should be planned properly and will have effective water management techniques. Satellite Image Processing is one of the most effective ways of detecting water on the earth’s surface. By receiving the images from the satellite, we can able to easily detect the water. However, due to minor effects, we may face difficulties in differentiating the characteristics of water. For example, when there is a shadow of tall buildings on the water surface, it will be difficult to read the image of the water body as the water surface creates a mirror reflection on it. Hence, it is important that we differentiate between water bodies and shadows. The main objective of the paper is to look at the various approaches to extract information from different satellite images using satellite image processing.
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Article Details
Deep Learning, Satellite Image Processing, Clustering, Particle Swarm Optimization
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