/satellite_image_segmentation

Experimented with a U-Net variant to perform pixel wise multi-class classification to segment high resolution satellite imagery into land use types with potential applications in deforestation and flood monitoring. Developed with TensorFlow framework.

Primary LanguageJupyter NotebookMIT LicenseMIT

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