Keeping pace with a changing planet: An interactive segmentation framework for refining delineations of dynamic Earth features with the Segment Anything Model

Accurate delineations of Earth’s surface features are crucial for environmental science, but for dynamic landscapes like thawing permafrost, these datasets rapidly become outdated and inaccurate. Manual refinement of these outdated labels is prohibitively slow, while existing foundation segmentation...

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主要な著者:	Yili Yang, Arav Agarwal, Marlena Bartkus, Heidi Rodenhizer, Wenwen Li, Hyunho Lee, Chia-Yu Hsu, Greg Fiske, Stefano Potter, Anna Liljedahl, Brendan M. Rogers, Susan M. Natali
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2026-03-01
シリーズ:	International Journal of Applied Earth Observations and Geoinformation
主題:	Segment Anything Model (SAM) Geospatial AI Zero-shot segmentation Interactive image segmentation Promptable image segmentation Retrogressive thaw slumps
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S1569843226001032
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