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  • title: Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification
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            Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification
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            Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification

            Dec 2, 2022

            Speakers

            JE

            Joseph Early

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            YD

            Ying-Jung Deweese

            Speaker · 0 followers

            CE

            Christine Evers

            Speaker · 0 followers

            About

            Land cover classification (LCC), and monitoring how land use changes over time, is an important process in climate change mitigation and adaptation. Existing approaches that use machine learning with Earth observation data for LCC rely on fully-annotated and segmented datasets. Creating these datasets requires a large amount of effort, and a lack of suitable datasets has become an obstacle in scaling the use of LCC. In this study, we propose Scene-to-Patch models: an alternative LCC approach uti…

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            NeurIPS 2022

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