UNLOCKING THE SKY

Abstract

Satellite imagery plays a crucial role in research and development, facilitating advancements in fields such as agriculture monitoring and disaster management. These images, captured through sophisticated systems, are processed using computers to extract valuable information. Machine Learning (ML), a fundamental aspect of artificial intelligence, involves constructing rules based on data. It revolves around creating software applications that access information and use it for self-guided learning. In the context of satellite imagery, Machine Learning algorithms have proven indispensable for analyzing images from various sources, yielding deeper insights. This article explores the utilization of Machine Learning- based image classification techniques to enhance the interpretation of Satellite Imagery. By employing these techniques, the process of classifying objects within satellite images can be improved, leading to more refined and detailed out comes window will be opened for the kids with specialized tools and description.