Quantum Based Floyd-Warshall's Algorithm with Attention U-Net Segmentation Model for Predicting Pixel Representation of Satellite Image

A correct file for constructing footprints is vital for more than a few applications, from population estimation and concrete-making plans to humanitarian reaction and environmental science. An appropriate way to acquire such information is through satellite TV for PC imagery that could map the distribution of homes throughout the world, mainly in regions that are remote or tough to access. However, detecting homes with imaginative and prescient strategies in a few environments may be a hard task. The proposed approach reduces the need for substantial previous segmentation and provides more consistency in detecting structures with hazy borders. With an average Fl score of 97.52%, it shows greater accuracy compared to earlier efforts. The suggested method has the potential to be quick and accurate prediction of satellite image datasets.