A Paradigm Shift in Mouza Map Vectorization: A Human-Machine Collaboration Approach
Published:
This research introduces a transformative semi-automated methodology for digitizing Mouza maps, leveraging convolutional neural networks, Optical Character Recognition (OCR), and GIS tools. It achieves enhanced precision in vectorizing complex, hand-drawn cadastral maps, significantly reducing time and labor while maintaining accuracy. The pipeline sets a benchmark in land resource digitization for rural and low-resource regions.