Abstract
This project classifies built-up areas from satellite images using K-Means clustering and a Deep Neural Network (DNN). K-Means segments the image, and DNN accurately classifies built-up and non-built-up regions. The system improves accuracy and automation in urban area detection.
Existing System
Proposed System
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english
