Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W3147861220', 'doi': None, 'title': 'Empirical Line Method Using Spectrally Stable Targets to Calibrate IKONOS Imagery', 'display_name': 'Empirical Line Method Using Spectrally Stable Targets to Calibrate IKONOS Imagery', 'publication_year': 2008, 'publication_date': '2008-01-01', 'ids': {'openalex': 'https://openalex.org/W3147861220', 'mag': '3147861220'}, 'language': 'zh-cn', 'primary_location': {'is_oa': False, 'landing_page_url': 'http://www.cqvip.com/QK/85078X/200801/26294217.html', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306546218', 'display_name': '土壤圈：英文版', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': [], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5100416688', 'display_name': 'Xu Xu', 'orcid': 'https://orcid.org/0000-0002-3934-9096'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Xu', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5019921358', 'display_name': 'Junfeng', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Jun-Feng', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': False, 'cited_by_count': 2, 'citation_normalized_percentile': {'value': 0.710781, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 70, 'max': 74}, 'biblio': {'volume': None, 'issue': '1', 'first_page': '124', 'last_page': '130'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11659', 'display_name': 'Advanced Image Fusion Techniques', 'score': 0.9892, 'subfield': {'id': 'https://openalex.org/subfields/2214', 'display_name': 'Media Technology'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T11659', 'display_name': 'Advanced Image Fusion Techniques', 'score': 0.9892, 'subfield': {'id': 'https://openalex.org/subfields/2214', 'display_name': 'Media Technology'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T12157', 'display_name': 'Geochemistry and Geologic Mapping', 'score': 0.9887, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10689', 'display_name': 'Remote-Sensing Image Classification', 'score': 0.9867, 'subfield': {'id': 'https://openalex.org/subfields/2214', 'display_name': 'Media Technology'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/line', 'display_name': 'Line (geometry)', 'score': 0.5458903}], 'concepts': [{'id': 'https://openalex.org/C62649853', 'wikidata': 'https://www.wikidata.org/wiki/Q199687', 'display_name': 'Remote sensing', 'level': 1, 'score': 0.68608993}, {'id': 'https://openalex.org/C198352243', 'wikidata': 'https://www.wikidata.org/wiki/Q37105', 'display_name': 'Line (geometry)', 'level': 2, 'score': 0.5458903}, {'id': 'https://openalex.org/C2778102629', 'wikidata': 'https://www.wikidata.org/wiki/Q725252', 'display_name': 'Satellite imagery', 'level': 2, 'score': 0.44373155}, {'id': 'https://openalex.org/C108597893', 'wikidata': 'https://www.wikidata.org/wiki/Q663650', 'display_name': 'Reflectivity', 'level': 2, 'score': 0.44052333}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.39580315}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.3919213}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.38632}, {'id': 'https://openalex.org/C39432304', 'wikidata': 'https://www.wikidata.org/wiki/Q188847', 'display_name': 'Environmental science', 'level': 0, 'score': 0.38513166}, {'id': 'https://openalex.org/C127313418', 'wikidata': 'https://www.wikidata.org/wiki/Q1069', 'display_name': 'Geology', 'level': 0, 'score': 0.33415604}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.21228865}, {'id': 'https://openalex.org/C120665830', 'wikidata': 'https://www.wikidata.org/wiki/Q14620', 'display_name': 'Optics', 'level': 1, 'score': 0.18436116}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.11025235}, {'id': 'https://openalex.org/C2524010', 'wikidata': 'https://www.wikidata.org/wiki/Q8087', 'display_name': 'Geometry', 'level': 1, 'score': 0.08057624}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'http://www.cqvip.com/QK/85078X/200801/26294217.html', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306546218', 'display_name': '土壤圈：英文版', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W858340209', 'https://openalex.org/W3150937181', 'https://openalex.org/W2188597077', 'https://openalex.org/W2123625879', 'https://openalex.org/W2083631279', 'https://openalex.org/W2000390208', 'https://openalex.org/W1976249651'], 'abstract_inverted_index': {'由使用幽灵似地稳定的目标，实验的线(EL': [0], ')': [1], '方法被测试改正多光谱在': [2], 'Putuo': [3], '山上获得的': [4], 'IKONOS': [5, 15], '形象，浙江，中国。一系列刻度目标，随着时间的过去幽灵似地稳定，被选择建立线性预言的方程。随后，一系列幽灵似地稳定的确认目标被选择估计方程的精确性。并且，确认目标，随着时间的过去幽灵似地不稳定，被用来测试使用': [6], 'EL': [7], '方法校准档案的遥远地察觉到的数据的可行性。为每个目标的地面反射大小用一个': [8], 'ASD': [9], 'FieldSpec': [10], '分光辐射函数被做。Trimble': [11], 'GeoXT？与亚米精确性联合起来的': [12], 'GPS': [13], '被用来精确地估计目标位置。为四个': [14], '乐队的线性回归方程被导出。为蓝、绿、红的乐队的决心的系数都比': [16], '0.9800': [17], '大，它为近红外线的乐队是': [18], '0.9697。合理结果能被使用幽灵似地稳定的目标获得，这被结束。': [19]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3147861220', 'counts_by_year': [{'year': 2016, 'cited_by_count': 1}, {'year': 2015, 'cited_by_count': 1}], 'updated_date': '2024-12-08T10:06:06.185233', 'created_date': '2021-04-13'}