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{'doi': '10.1190/int-2022-0023.1', 'member_id': '186', 'member': 'Society of Exploration Geophysicists', 'container-title': 'Interpretation', 'primary-resource': 'https://library.seg.org/doi/10.1190/INT-2022-0023.1', 'tld': 'seg.org', 'clearbit-logo': 'https://logo.clearbit.com/seg.org', 'coaccess': [], 'multiple-resolution': [{'url': 'https://pubs.geoscienceworld.org/interpretation/article/11/1/sa93/617836/nonstationary-training-image-partition-algorithm', 'tld': 'geoscienceworld.org', 'clearbit-logo': 'https://logo.clearbit.com/geoscienceworld.org'}], 'type': 'JOURNAL ARTICLE', 'published_date': '1 February 2023', 'publication': 'Interpretation', 'supplementary_ids': '10.1190/INT-2022-0023.1', 'title': 'Nonstationary training image partition algorithm based on deep features', 'name': None, 'id': None, 'location': None, 'display_doi': 'https://doi.org/10.1190/int-2022-0023.1', 'grant_info': 'China Petroleum Science Technology Innovation Fund (2021DQ02-0106) | Open Fund of Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University (UOG2022-12) | National Natural Science Foundation of China (42172172,42002147,41872129)', 'editors': None, 'authors': 'Linye Su | Siyu Yu | Shaohua Li | Xixin Wang', 'chairs': None}
https://doi.org/10.1190/int-2022-0023.1
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