{"id":"https://openalex.org/W4390017862","doi":"https://doi.org/10.1109/jstars.2023.3344720","title":"Re-Net: Multibranch Network With Structural Reparameterization for Landslide Detection in Optical Imagery","display_name":"Re-Net: Multibranch Network With Structural Reparameterization for Landslide Detection in Optical Imagery","publication_year":2023,"publication_date":"2023-12-20","ids":{"openalex":"https://openalex.org/W4390017862","doi":"https://doi.org/10.1109/jstars.2023.3344720"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3344720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3344720","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10366781.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10366781.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101700329","display_name":"Ruixuan Zhang","orcid":"https://orcid.org/0009-0009-0099-7879"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui-xuan Zhang","raw_affiliation_strings":["School of Geology Engineering and Geomatics, Chang&#x0027;an University, Xi&#x0027;an, China","Big Data Center for Geosciences and Satellites (BDCGS), Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Geology Engineering and Geomatics, Chang&#x0027;an University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"Big Data Center for Geosciences and Satellites (BDCGS), Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037778561","display_name":"Wu Zhu","orcid":"https://orcid.org/0000-0001-6034-3062"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Zhu","raw_affiliation_strings":["School of Geological Engineering and Geomatics, Chang&#x0027;an University, Xi&#x0027;an, China","College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China","Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi'an, China","Big Data Center for Geosciences and Satellites (BDCGS), Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Geological Engineering and Geomatics, Chang&#x0027;an University, Xi&#x0027;an, China","institution_ids":[]},{"raw_affiliation_string":"College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi'an, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"Big Data Center for Geosciences and Satellites (BDCGS), Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007427445","display_name":"Zhenhong Li","orcid":"https://orcid.org/0009-0007-4187-6243"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen-hong Li","raw_affiliation_strings":["School of Geological Engineering and Geomatics, Chang&#x0027;an University, Xi&#x0027;an, China","Big Data Center for Geosciences and Satellites (BDCGS), Chang'an University, Xi'an, China","Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi'an, China","College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Geological Engineering and Geomatics, Chang&#x0027;an University, Xi&#x0027;an, China","institution_ids":[]},{"raw_affiliation_string":"Big Data Center for Geosciences and Satellites (BDCGS), Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi'an, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032767536","display_name":"Bochen Zhang","orcid":"https://orcid.org/0000-0002-2350-2084"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo-chen Zhang","raw_affiliation_strings":["College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100427455","display_name":"Bo Chen","orcid":"https://orcid.org/0009-0002-2461-5256"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["School of Geology Engineering and Geomatics, Chang&#x0027;an University, Xi&#x0027;an, China","Big Data Center for Geosciences and Satellites (BDCGS), Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Geology Engineering and Geomatics, Chang&#x0027;an University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"Big Data Center for Geosciences and Satellites (BDCGS), Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101700329"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":5.8921,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95693789,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"2828","last_page":"2837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8015952110290527},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.6459968686103821},{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.6146971583366394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5965268015861511},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5289511680603027},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5128839015960693},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5063554048538208},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5016794204711914},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49481910467147827},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.457284152507782},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4323294758796692},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42965489625930786},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.4217427670955658},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40522921085357666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09286928176879883}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015952110290527},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.6459968686103821},{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.6146971583366394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5965268015861511},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5289511680603027},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5128839015960693},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5063554048538208},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5016794204711914},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49481910467147827},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.457284152507782},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4323294758796692},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42965489625930786},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.4217427670955658},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40522921085357666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09286928176879883},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3344720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3344720","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10366781.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6fd3ee2ba69f47c6957eea27a6d141dd","is_oa":true,"landing_page_url":"https://doaj.org/article/6fd3ee2ba69f47c6957eea27a6d141dd","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2828-2837 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3344720","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3344720","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10366781.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6200000047683716,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1624230995","display_name":null,"funder_award_id":"42074040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3316645598","display_name":null,"funder_award_id":"300102262902","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G681078867","display_name":null,"funder_award_id":"300102263401","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390017862.pdf","grobid_xml":"https://content.openalex.org/works/W4390017862.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1518622944","https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1994616650","https://openalex.org/W2005802434","https://openalex.org/W2090091295","https://openalex.org/W2122282653","https://openalex.org/W2124797185","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2531409750","https://openalex.org/W2787091153","https://openalex.org/W2798122215","https://openalex.org/W2883780447","https://openalex.org/W2884436604","https://openalex.org/W2921108718","https://openalex.org/W2962858109","https://openalex.org/W2963263347","https://openalex.org/W2963881378","https://openalex.org/W2964350391","https://openalex.org/W2981609437","https://openalex.org/W3003882269","https://openalex.org/W3037891846","https://openalex.org/W3091852895","https://openalex.org/W3120526585","https://openalex.org/W3157938348","https://openalex.org/W3163973305","https://openalex.org/W3167976421","https://openalex.org/W3171038842","https://openalex.org/W3193895134","https://openalex.org/W4205425966","https://openalex.org/W4206602735","https://openalex.org/W4224142028","https://openalex.org/W4246193833","https://openalex.org/W4281250139","https://openalex.org/W4281707042","https://openalex.org/W4281925866","https://openalex.org/W4283022097","https://openalex.org/W4293584584","https://openalex.org/W4309325582","https://openalex.org/W4319157933","https://openalex.org/W4322753249","https://openalex.org/W4376288330","https://openalex.org/W4387937868","https://openalex.org/W4390533840","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6684191040","https://openalex.org/W6726497184","https://openalex.org/W6739901393","https://openalex.org/W6750227808","https://openalex.org/W6750469568"],"related_works":["https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W3201652628","https://openalex.org/W4212972401","https://openalex.org/W2389287188","https://openalex.org/W3081499580","https://openalex.org/W2615020820","https://openalex.org/W3106883776","https://openalex.org/W2950100253"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"techniques":[2],"have":[3,46],"been":[4],"widely":[5],"adopted":[6],"in":[7,38,107,119,124,153,159,177,205,209,223,233,237],"landslide":[8,39,139,163],"detection":[9,164],"by":[10,88,96],"offering":[11],"powerful":[12],"feature":[13],"extraction":[14],"capabilities":[15],"and":[16,121,157,174,207,219,235],"automated":[17],"processes.":[18],"However,":[19],"the":[20,34,59,70,73,97,102,105,126,135,143,178,210,224],"pursuit":[21],"of":[22,36,61,72,129,137,151,172,180,217,231],"higher":[23],"accuracy":[24,187],"has":[25],"led":[26],"to":[27,68,189,197],"increasingly":[28],"complex":[29],"network":[30],"structures,":[31],"which":[32,93],"limits":[33],"efficiency":[35,127],"models":[37],"detection.":[40],"To":[41],"tackle":[42],"this":[43],"challenge,":[44],"we":[45],"developed":[47],"a":[48,111],"dynamic":[49],"module,":[50],"called":[51],"Five-branch":[52],"Feature":[53],"Extraction":[54],"Module":[55],"(FFEM),":[56],"based":[57],"on":[58],"theory":[60],"structural":[62,103],"reparameterization.":[63],"This":[64],"module":[65],"is":[66,94],"designed":[67],"reconstruct":[69],"encoder":[71],"U-shaped":[74],"network.":[75],"Our":[76],"novel":[77],"network,":[78],"Re-Net,":[79],"effectively":[80],"integrates":[81],"information":[82],"from":[83],"multiple":[84],"scales":[85],"during":[86],"training":[87],"utilizing":[89],"its":[90],"multi-branch":[91],"structure,":[92],"facilitated":[95],"FFEM.":[98],"During":[99],"inference,":[100],"leveraging":[101],"reparameterization,":[104],"FFEM":[106,201,227],"Re-Net":[108,130,148,168,183],"transforms":[109],"as":[110,193],"convolutional":[112],"layer,":[113],"achieving":[114],"an":[115,214],"impressive":[116],"52.9%":[117],"reduction":[118,123],"parameters,":[120],"34.98%":[122],"FLOPs.":[125],"improvement":[128],"does":[131],"not":[132],"come":[133],"at":[134],"expense":[136],"sacrificing":[138],"recognition":[140],"accuracy.":[141],"In":[142,161],"public":[144],"dataset":[145],"(Bijie":[146],"dataset),":[147],"achieved":[149],"improvements":[150,171,204,230],"2.81%":[152],"IoU(Intersection":[154],"over":[155],"Union)":[156],"1.93%":[158],"F1-Score.":[160,238],"post-earthquake":[162],"tasks":[165],"(Luding":[166],"Dataset),":[167],"exhibited":[169],"respective":[170],"2.29%":[173],"1.52%.":[175],"Moreover,":[176],"task":[179],"Landslide":[181],"Detection,":[182],"demonstrates":[184,228],"superior":[185],"segmentation":[186],"compared":[188,196],"other":[190,198],"CNNs,":[191],"such":[192],"Unet++.":[194],"when":[195],"reparameterization":[199],"modules,":[200],"shows":[202],"significant":[203],"IoU":[206,234],"F1-Score":[208],"Bijie":[211],"dataset,":[212,226],"with":[213],"average":[215,229],"increase":[216],"0.65%":[218],"0.45%,":[220],"respectively.":[221],"Similarly,":[222],"Luding":[225],"1.56%":[232],"1.04%":[236]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
