Bamboo for Mining Reclamation and Renewable EnergyPublic Deposited
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This project aimed to create a detailed map of a pilot mining site in Ghana utilizing drone imagery and employing photo stitching techniques. An OpenCV stitching package was initially used to stitch the aerial photos together, yielding satisfactory results overall. However, challenges arose in areas of the site with extensive tree coverage, leading to sub-optimal stitching outcomes. To address this issue, a MATLAB algorithm was developed, leveraging GPS data and edge detection techniques to enhance the stitching process for images containing trees. Although the resulting map was not flawless, significant improvements were observed in areas characterized by dense tree coverage. This project highlights the potential of integrating MATLAB algorithms to enhance the accuracy and completeness of aerial mapping in challenging environments.
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