Integrating a data-driven classifier and shape-modulated segmentation for sea-ice floe extraction
Sea-ice images are foundational resources for studying the evolution of sea-ice floes (SIFs). However, extracting SIFs from diverse and complex sea-ice images using conventional segmentation methods is both tedious and challenging. The precision of identified SIFs is often compromised by various int...
| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier
2024-04-01
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| シリーズ: | International Journal of Applied Earth Observations and Geoinformation |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S1569843224000803 |