Publication Information

{'id': 'https://openalex.org/W2292987679', 'doi': 'https://doi.org/10.1109/icip.2015.7351663', 'title': 'Low-rank tensor decomposition based anomaly detection for hyperspectral imagery', 'display_name': 'Low-rank tensor decomposition based anomaly detection for hyperspectral imagery', 'publication_year': 2015, 'publication_date': '2015-09-01', 'ids': {'openalex': 'https://openalex.org/W2292987679', 'doi': 'https://doi.org/10.1109/icip.2015.7351663', 'mag': '2292987679'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/icip.2015.7351663', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4363607719', 'display_name': '2022 IEEE International Conference on Image Processing (ICIP)', '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': 'conference'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], '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/A5102876039', 'display_name': 'Shuangjiang Li', 'orcid': 'https://orcid.org/0000-0001-6968-2458'}, 'institutions': [{'id': 'https://openalex.org/I75027704', 'display_name': 'University of Tennessee at Knoxville', 'ror': 'https://ror.org/020f3ap87', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I75027704']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Shuangjiang Li', 'raw_affiliation_strings': ['EECS Dept., University of Tennessee, Knoxville, TN, USA'], 'affiliations': [{'raw_affiliation_string': 'EECS Dept., University of Tennessee, Knoxville, TN, USA', 'institution_ids': ['https://openalex.org/I75027704']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5101896142', 'display_name': 'Wei Wang', 'orcid': 'https://orcid.org/0000-0002-1557-5304'}, 'institutions': [{'id': 'https://openalex.org/I75027704', 'display_name': 'University of Tennessee at Knoxville', 'ror': 'https://ror.org/020f3ap87', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I75027704']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Wei Wang', 'raw_affiliation_strings': ['EECS Dept., University of Tennessee, Knoxville, TN, USA'], 'affiliations': [{'raw_affiliation_string': 'EECS Dept., University of Tennessee, Knoxville, TN, USA', 'institution_ids': ['https://openalex.org/I75027704']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5072730926', 'display_name': 'Hairong Qi', 'orcid': 'https://orcid.org/0000-0002-2693-5520'}, 'institutions': [{'id': 'https://openalex.org/I75027704', 'display_name': 'University of Tennessee at Knoxville', 'ror': 'https://ror.org/020f3ap87', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I75027704']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Hairong Qi', 'raw_affiliation_strings': ['EECS Dept., University of Tennessee, Knoxville, TN, USA'], 'affiliations': [{'raw_affiliation_string': 'EECS Dept., University of Tennessee, Knoxville, TN, USA', 'institution_ids': ['https://openalex.org/I75027704']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5088784476', 'display_name': 'Bulent Ayhan', 'orcid': 'https://orcid.org/0000-0003-2813-9058'}, 'institutions': [{'id': 'https://openalex.org/I4210164701', 'display_name': 'Signal Systems Corporation (United States)', 'ror': 'https://ror.org/04zvkqw17', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I4210164701']}, {'id': 'https://openalex.org/I4210121626', 'display_name': 'Signal Processing (United States)', 'ror': 'https://ror.org/021gzyw51', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I4210121626']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Bulent Ayhan', 'raw_affiliation_strings': ['Signal Processing Inc., Rockville, MD, USA'], 'affiliations': [{'raw_affiliation_string': 'Signal Processing Inc., Rockville, MD, USA', 'institution_ids': ['https://openalex.org/I4210164701', 'https://openalex.org/I4210121626']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5083651030', 'display_name': 'Chiman Kwan', 'orcid': 'https://orcid.org/0000-0002-4341-0769'}, 'institutions': [{'id': 'https://openalex.org/I4210121626', 'display_name': 'Signal Processing (United States)', 'ror': 'https://ror.org/021gzyw51', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I4210121626']}, {'id': 'https://openalex.org/I4210164701', 'display_name': 'Signal Systems Corporation (United States)', 'ror': 'https://ror.org/04zvkqw17', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I4210164701']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Chiman Kwan', 'raw_affiliation_strings': ['Signal Processing Inc., Rockville, MD, USA'], 'affiliations': [{'raw_affiliation_string': 'Signal Processing Inc., Rockville, MD, USA', 'institution_ids': ['https://openalex.org/I4210121626', 'https://openalex.org/I4210164701']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5044125685', 'display_name': 'S. Vance', 'orcid': 'https://orcid.org/0000-0002-4242-3293'}, 'institutions': [{'id': 'https://openalex.org/I1334627681', 'display_name': 'Jet Propulsion Laboratory', 'ror': 'https://ror.org/027k65916', 'country_code': 'US', 'type': 'facility', 'lineage': ['https://openalex.org/I122411786', 'https://openalex.org/I1334627681', 'https://openalex.org/I4210124779']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Steven Vance', 'raw_affiliation_strings': ['Jet Propulsion Laboratory, Pasadena, CA, USA'], 'affiliations': [{'raw_affiliation_string': 'Jet Propulsion Laboratory, Pasadena, CA, USA', 'institution_ids': ['https://openalex.org/I1334627681']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 4, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 3.397, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 102, 'citation_normalized_percentile': {'value': 0.870968, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 98, 'max': 99}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T12303', 'display_name': 'Tensor decomposition and applications', 'score': 0.9997, 'subfield': {'id': 'https://openalex.org/subfields/2605', 'display_name': 'Computational Mathematics'}, 'field': {'id': 'https://openalex.org/fields/26', 'display_name': 'Mathematics'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T12303', 'display_name': 'Tensor decomposition and applications', 'score': 0.9997, 'subfield': {'id': 'https://openalex.org/subfields/2605', 'display_name': 'Computational Mathematics'}, 'field': {'id': 'https://openalex.org/fields/26', 'display_name': 'Mathematics'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10500', 'display_name': 'Sparse and Compressive Sensing Techniques', 'score': 0.997, 'subfield': {'id': 'https://openalex.org/subfields/2206', 'display_name': 'Computational Mechanics'}, '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/T10688', 'display_name': 'Image and Signal Denoising Methods', 'score': 0.991, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/tucker-decomposition', 'display_name': 'Tucker Decomposition', 'score': 0.8161986}, {'id': 'https://openalex.org/keywords/rank', 'display_name': 'Rank (graph theory)', 'score': 0.7164688}, {'id': 'https://openalex.org/keywords/anomaly', 'display_name': 'Anomaly (physics)', 'score': 0.6833111}, {'id': 'https://openalex.org/keywords/data-cube', 'display_name': 'Data cube', 'score': 0.62422776}], 'concepts': [{'id': 'https://openalex.org/C159078339', 'wikidata': 'https://www.wikidata.org/wiki/Q959005', 'display_name': 'Hyperspectral imaging', 'level': 2, 'score': 0.87307084}, {'id': 'https://openalex.org/C42704193', 'wikidata': 'https://www.wikidata.org/wiki/Q7851097', 'display_name': 'Tucker decomposition', 'level': 4, 'score': 0.8161986}, {'id': 'https://openalex.org/C155281189', 'wikidata': 'https://www.wikidata.org/wiki/Q3518150', 'display_name': 'Tensor (intrinsic definition)', 'level': 2, 'score': 0.7318521}, {'id': 'https://openalex.org/C164226766', 'wikidata': 'https://www.wikidata.org/wiki/Q7293202', 'display_name': 'Rank (graph theory)', 'level': 2, 'score': 0.7164688}, {'id': 'https://openalex.org/C739882', 'wikidata': 'https://www.wikidata.org/wiki/Q3560506', 'display_name': 'Anomaly detection', 'level': 2, 'score': 0.69475484}, {'id': 'https://openalex.org/C12997251', 'wikidata': 'https://www.wikidata.org/wiki/Q567560', 'display_name': 'Anomaly (physics)', 'level': 2, 'score': 0.6833111}, {'id': 'https://openalex.org/C78168278', 'wikidata': 'https://www.wikidata.org/wiki/Q5227269', 'display_name': 'Data cube', 'level': 2, 'score': 0.62422776}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.60865176}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.55473876}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5167174}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.37711763}, {'id': 'https://openalex.org/C2986737658', 'wikidata': 'https://www.wikidata.org/wiki/Q30103009', 'display_name': 'Tensor decomposition', 'level': 3, 'score': 0.29277617}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.28526872}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.13330942}, {'id': 'https://openalex.org/C114614502', 'wikidata': 'https://www.wikidata.org/wiki/Q76592', 'display_name': 'Combinatorics', 'level': 1, 'score': 0.0830549}, {'id': 'https://openalex.org/C202444582', 'wikidata': 'https://www.wikidata.org/wiki/Q837863', 'display_name': 'Pure mathematics', 'level': 1, 'score': 0.059115022}, {'id': 'https://openalex.org/C26873012', 'wikidata': 'https://www.wikidata.org/wiki/Q214781', 'display_name': 'Condensed matter physics', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/icip.2015.7351663', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4363607719', 'display_name': '2022 IEEE International Conference on Image Processing (ICIP)', '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': 'conference'}, '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': 22, 'referenced_works': ['https://openalex.org/W1963826206', 'https://openalex.org/W1994040806', 'https://openalex.org/W1999136078', 'https://openalex.org/W2000361322', 'https://openalex.org/W2018282388', 'https://openalex.org/W2021794943', 'https://openalex.org/W2022964106', 'https://openalex.org/W2024165284', 'https://openalex.org/W2041403224', 'https://openalex.org/W2047870694', 'https://openalex.org/W2060154944', 'https://openalex.org/W2064141868', 'https://openalex.org/W2068187760', 'https://openalex.org/W2088657558', 'https://openalex.org/W2114486983', 'https://openalex.org/W2124267685', 'https://openalex.org/W2137972458', 'https://openalex.org/W2139452393', 'https://openalex.org/W2142552707', 'https://openalex.org/W2145962650', 'https://openalex.org/W2149552406', 'https://openalex.org/W4237234927'], 'related_works': ['https://openalex.org/W4386427838', 'https://openalex.org/W4290647774', 'https://openalex.org/W3207797160', 'https://openalex.org/W3189286258', 'https://openalex.org/W3178760882', 'https://openalex.org/W3112209948', 'https://openalex.org/W2889956472', 'https://openalex.org/W2806741695', 'https://openalex.org/W2116776498', 'https://openalex.org/W1982418987'], 'abstract_inverted_index': {'Anomaly': [0], 'detection': [1], 'becomes': [2], 'increasingly': [3], 'important': [4], 'in': [5], 'hyper-spectral': [6], 'image': [7], 'analysis,': [8], 'since': [9], 'it': [10], 'can': [11], 'now': [12], 'uncover': [13], 'many': [14], 'material': [15], 'substances': [16], 'which': [17, 77], 'were': [18], 'previously': [19], 'unresolved': [20], 'by': [21], 'multi-spectral': [22], 'sensors.': [23], 'In': [24], 'this': [25], 'paper,': [26], 'we': [27], 'propose': [28], 'a': [29, 49, 54], 'Low-rank': [30], 'Tensor': [31], 'Decomposition': [32], 'based': [33, 104], 'anomaly': [34, 85, 100], 'Detection': [35], '(LTDD)': [36], 'algorithm': [37], 'for': [38, 99], 'Hyperspectral': [39], 'Imagery.': [40], 'The': [41, 102], 'HSI': [42], 'data': [43, 111], 'cube': [44], 'is': [45, 78], 'first': [46], 'modeled': [47], 'as': [48, 80], 'dense': [50], 'low-rank': [51, 61, 67], 'tensor': [52, 68, 76, 98], 'plus': [53], 'sparse': [55], 'tensor.': [56], 'Based': [57], 'on': [58, 105], 'the': [59, 66, 74, 81, 84, 95, 114], 'obtained': [60], 'tensor,': [62], 'LTDD': [63, 88], 'further': [64], 'decomposes': [65], 'using': [69], 'Tucker': [70], 'decomposition': [71], 'to': [72, 94], 'extract': [73], 'core': [75, 97], 'treated': [79], '"support"': [82], 'of': [83, 116], 'spectral': [86], 'signatures.': [87], 'then': [89], 'adopts': [90], 'an': [91], 'unmixing': [92], 'approach': [93], 'reconstructed': [96], 'detection.': [101], 'experiments': [103], 'both': [106], 'simulated': [107], 'and': [108], 'real': [109], 'hyperspectral': [110], 'sets': [112], 'verify': [113], 'effectiveness': [115], 'our': [117], 'algorithm.': [118]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2292987679', 'counts_by_year': [{'year': 2024, 'cited_by_count': 6}, {'year': 2023, 'cited_by_count': 13}, {'year': 2022, 'cited_by_count': 15}, {'year': 2021, 'cited_by_count': 10}, {'year': 2020, 'cited_by_count': 11}, {'year': 2019, 'cited_by_count': 14}, {'year': 2018, 'cited_by_count': 18}, {'year': 2017, 'cited_by_count': 9}, {'year': 2016, 'cited_by_count': 4}], 'updated_date': '2024-12-19T12:25:14.740488', 'created_date': '2016-06-24'}