Land Cover Change Detection via Semantic Segmentation

28 Nov 2019Renee SuRong Chen

This paper presents a change detection method that identifies land cover changes from aerial imagery, using semantic segmentation, a machine learning approach. We present a land cover classification training pipeline with Deeplab v3+, state-of-the-art semantic segmentation technology, including data preparation, model training for seven land cover types, and model exporting modules... (read more)

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