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A MULTI-TASK DEEP LEARNING FRAMEWORK FOR BUILDING FOOTPRINT SEGMENTATION

This repository contains the code for the paper Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images

Framework

The framework of this study is detailed as follow.

Outputs

Dataset and Weights

Dataset used in this study made publicly available here

Weights can be found here.

System-specific notes

The code was implemented in Python(3.8) and PyTroch(1.14.0) on Windows OS. The segmentation models pytorch library is used as a baseline for implementation. Apart from main data science libraries, RS-specific libraries such as GDAL, rasterio, and tifffile are also required.

Citation

Please kindly cite our paper if this code and the dataset used in the study is useful for your research.

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