دورية أكاديمية

AdaptFormer: An Adaptive Hierarchical Semantic Approach for Change Detection on Remote Sensing Images

التفاصيل البيبلوغرافية
العنوان: AdaptFormer: An Adaptive Hierarchical Semantic Approach for Change Detection on Remote Sensing Images
المؤلفون: Teng Huang, Yile Hong, Yan Pang, Member IEEE, Jiaming Liang, Jie Hong, Lin Huang, Yuan Zhang, Yan Jia, Patrizia Savi
المساهمون: Huang, Teng, Hong, Yile, Pang, Yan, Ieee, Member, Liang, Jiaming, Hong, Jie, Huang, Lin, Zhang, Yuan, Jia, Yan, Savi, Patrizia
بيانات النشر: IEEE
سنة النشر: 2024
المجموعة: PORTO@iris (Publications Open Repository TOrino - Politecnico di Torino)
مصطلحات موضوعية: Change detection (CD), deep learning, hierarchical representation learning, remote sensing (RS), representation fusion.
الوصف: Change detection (CD) in remote sensing (RS) aims to consistently track alterations in specific regions over time. While current methods employ hierarchical architectures to analyze semantic details, they often miss crucial changes across different semantic levels, resulting in partial representations of environmental shifts. Addressing this, we propose AdaptFormer, uniquely designed to adaptively interpret hierarchical semantics. Instead of a one-size-fits-all approach, it strategizes differently across three semantic depths: employing straightforward operations for shallow semantics, assimilating spatial data for medium semantics to emphasize detailed interregional changes, and integrating cascaded depthwise attention for in-depth semantics, focusing on high-level representations. The experimental evaluations reveal that AdaptFormer surpasses many leading benchmarks, showcasing exceptional accuracy on LEVIR-CD and DSIFN-CD datasets. AdaptFormer showcases impressive performance with F1 and intersection over union (IoU) scores of 92.65% and 86.31% on the LEVIR-CD dataset, and 97.59% and 95.29% on the DSIFN-CD dataset, respectively. The datasets are available at https://github.com/aigzhusmart/AdaptFormerTest.
نوع الوثيقة: article in journal/newspaper
وصف الملف: ELETTRONICO
اللغة: English
العلاقة: volume:73; firstpage:1; lastpage:12; numberofpages:12; journal:IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT; https://hdl.handle.net/11583/2988252Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85190340751; https://ieeexplore-ieee-org.ezproxy.biblio.polito.it/document/10497147Test
DOI: 10.1109/TIM.2024.3387494
الإتاحة: https://doi.org/10.1109/TIM.2024.3387494Test
https://hdl.handle.net/11583/2988252Test
https://ieeexplore-ieee-org.ezproxy.biblio.polito.it/document/10497147Test
حقوق: info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.6986F8AF
قاعدة البيانات: BASE