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A comprehensive transferability evaluation of U‑Net and ResU‑Net for landslide detection from Sentinel‑2 data (case study areas fromTaiwan, China, and Japan)

  1. TitleA comprehensive transferability evaluation of U‑Net and ResU‑Net for landslide detection from Sentinel‑2 data (case study areas fromTaiwan, China, and Japan)
    Author Ghorbanzadeh Omid Shahabi Hejar 1991 SAVGEOGR - Geografický ústav SAV    SCOPUS    RID    ORCID

    Co-authors Crivellari Alessandro Ghamisi Pedram Blaschke Thomas
    Source document Scientific Reports. Vol. 11, art. no. 14629 (2021)
    Languageeng - English
    CountryGB - Great Britian
    Document kindrozpis článkov z periodík (rbx)
    CitationsBAO, S. - LIU, J.P. - WANG, L. - ZHAO, X.Z. Application of Transformer Models to Landslide Susceptibility Mapping. In SENSORS. 2022, vol. 22, no. 23, art. no. 9104. Dostupné na: https://doi.org/10.3390/s22239104.
    JIANG, W.D. - XI, J.B. - LI, Z.H. - ZANG, M.H. - CHEN, B. - ZHANG, C.L. - LIU, Z.J. - GAO, S.Y. - ZHU, W. Deep Learning for Landslide Detection and Segmentation in High-Resolution Optical Images along the Sichuan-Tibet Transportation Corridor. In REMOTE SENSING. 2022, vol. 14, no. 21, art. no. 5490. Dostupné na: https://doi.org/10.3390/rs14215490.
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    CHAVAN, M. - VARADARAJAN, V. - GITE, S. - KOTECHA, K. Deep Neural Network for Lung Image Segmentation on Chest X-ray. In TECHNOLOGIES. 2022, vol. 10, no. 5, art. no. 105. Dostupné na: https://doi.org/10.3390/technologies10050105.
    MORALES, B. - GARCIA-PEDRERO, A. - LIZAMA, E. - LILLO-SAAVEDRA, M. - GONZALO-MARTIN, C. - CHEN, N.S. - SOMOS-VALENZUELA, M. Patagonian Andes Landslides Inventory: The Deep Learning's Way to Their Automatic Detection. In REMOTE SENSING. 2022, vol. 14, no. 18, art. no. 4622. Dostupné na: https://doi.org/10.3390/rs14184622.
    FRANCINI, M. - SALVO, C. - VISCOMI, A. - VITALE, A. A Deep Learning-Based Method for the Semi-Automatic Identification of Built-Up Areas within Risk Zones Using Aerial Imagery and Multi-Source GIS Data: An Application for Landslide Risk. In REMOTE SENSING. 2022, vol. 14, no. 17, art. no 4279. Dostupné na: https://doi.org/10.3390/rs14174279.
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    ESKANDARI, S. - SARAB, S.A.M. Mapping land cover and forest density in Zagros forests of Khuzestan province in Iran: A study based on Sentinel-2, Google Earth and field data. In ECOLOGICAL INFORMATICS. ISSN 1574-9541, 2022, vol. 70, art. no. 101727. Dostupné na: https://doi.org/10.1016/j.ecoinf.2022.101727.
    JI, Y. - YAN, E.P. - YIN, X.M. - SONG, Y.B. - WEI, W. - MO, D.K. Automated extraction of Camellia oleifera crown using unmanned aerial vehicle visible images and the ResU-Net deep learning model. In FRONTIERS IN PLANT SCIENCE. ISSN 1664-462X, 2022, vol. 13, art. no. 958940. Dostupné na: https://doi.org/10.3389/fpls.2022.958940.
    YAZDI, A. - QIN, H.Y. - JORDAN, C.B. - YANG, L. - YAN, F. Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection. In REMOTE SENSING. 2022, vol. 14, no. 16. Dostupné na: https://doi.org/10.3390/rs14163979.
    ES-SMAIRI, A. - EL MOUTCHOU, B. - TOUHAMI, A.E. - NAMOUS, M. - MIR, R.A. Landslide susceptibility mapping using GIS-based bivariate models in the Rif chain (northernmost Morocco). In GEOCARTO INTERNATIONAL. ISSN 1010-6049, 2022, vol. 37, no. 27, p. 15347-15377. Dostupné na: https://doi.org/10.1080/10106049.2022.2097322.
    ESKANDARI, S. - POURGHASEMI, H.R. Assessing and mapping distribution, area, and density of riparian forests in southern Iran using Sentinel-2A, Google earth, and field data. In ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. ISSN 0944-1344, 2022, vol. 29, no. 52, p. 79605-79617. Dostupné na: https://doi.org/10.1007/s11356-022-21478-2.
    SCHONFELDT, E. - WINOCUR, D. - PANEK, T. - KORUP, O. Deep learning reveals one of Earth?s largest landslide terrain in Patagonia. In EARTH AND PLANETARY SCIENCE LETTERS. ISSN 0012-821X, 2022, vol. 593, art. no. 117642. Dostupné na: https://doi.org/10.1016/j.epsl.2022.117642.
    ZHANG, G.L. - WANG, M. - LIU, K. Dynamic prediction of global monthly burned area with hybrid deep neural networks. In ECOLOGICAL APPLICATIONS. ISSN 1051-0761, 2022, vol. 32, no. 5. Dostupné na: https://doi.org/10.1002/eap.2610.
    VALDES CARRERA, A.C. - MENDOZA, M.E. - CARLON ALLENDE, T. - MACIAS, J.L. Multitemporal landslide inventory analysis of an intertropical mountain in west-central Mexico - Basis for hazard management. In JOURNAL OF MOUNTAIN SCIENCE. ISSN 1672-6316, 2022, vol. 19, no. 6, p. 1650-1669. Dostupné na: https://doi.org/10.1007/s11629-021-7223-3.
    YANG, Z.Q. - XU, C. Efficient Detection of Earthquake-Triggered Landslides Based on U-Net plus plus : An Example of the 2018 Hokkaido Eastern Iburi (Japan) Mw=6.6 Earthquake. In REMOTE SENSING. JUN 2022, vol. 14, no. 12, art. no. 2826. Dostupné na: https://doi.org/10.3390/rs14122826.
    TANG, X.C. - TU, Z.H. - WANG, Y. - LIU, M.Z. - LI, D.F. - FAN, X.M. Automatic Detection of Coseismic Landslides Using a New Transformer Method. In REMOTE SENSING. 2022, vol. 14, no. 12, art. no. 2884 Dostupné na: https://doi.org/10.3390/rs14122884.
    YANG, Z.Q. - XU, C. - LI, L. Landslide Detection Based on ResU-Net with Transformer and CBAM Embedded: Two Examples with Geologically Different Environments. In REMOTE SENSING. 2022, vol. 14, no. 12, art. no. 2885. Dostupné na: https://doi.org/10.3390/rs14122885.
    DONG, Z.Y. - AN, S. - ZHANG, J. - YU, J.Q. - LI, J.H. - XU, D.L. L-Unet: A Landslide Extraction Model Using Multi-Scale Feature Fusion and Attention Mechanism. In REMOTE SENSING. 2022, vol. 14, no. 11, art. no. 2552. Dostupné na: https://doi.org/10.3390/rs14112552.
    TERENTIEVA, I. - FILIPPOV, I. - SABREKOV, A. - GLAGOLEV, M. Mapping Onshore CH4 Seeps in Western Siberian Floodplains Using Convolutional Neural Network. In REMOTE SENSING. 2022, vol. 14, no. 11. Dostupné na: https://doi.org/10.3390/rs14112661.
    HAN, W.C. - HE, T.L. - TANG, Z.J. - WANG, M. - JONES, D. - JIANG, Z. A comparative analysis for a deep learning model (hyDL-CO v1.0) and Kalman filter to predict CO concentrations in China. In GEOSCIENTIFIC MODEL DEVELOPMENT. ISSN 1991-959X, 2022, vol. 15, no. 10, p. 4225-4237. Dostupné na: https://doi.org/10.5194/gmd-15-4225-2022.
    JENIFER, A.E. - APARNA, A. - SUDHA, N. - KUMAR, A. AgriFloodNet: a dual patch CNN architecture for mapping flooded agricultural lands via bi-temporal multi-sensor images. In GEOCARTO INTERNATIONAL. ISSN 1010-6049, 2022, vol. 37, no. 26, p. 13618-13637. Dostupné na: https://doi.org/10.1080/10106049.2022.2082549.
    MAGHAMI, A. - HOSSEINI, S.M. Automated design of phononic crystals under thermoelastic wave propagation through deep reinforcement learning. In ENGINEERING STRUCTURES. ISSN 0141-0296, 2022, vol. 263, art. no. 114385. Dostupné na: https://doi.org/10.1016/j.engstruct.2022.114385.
    WANG, L.Y. - QIU, H.J. - ZHOU, W.Q. - ZHU, Y.R. - LIU, Z.J. - MA, S.Y. - YANG, D.D. - TANG, B.Z. The Post-Failure Spatiotemporal Deformation of Certain Translational Landslides May Follow the Pre-Failure Pattern. In REMOTE SENSING. MAY 2022, vol. 14, no. 10. Dostupné na: https://doi.org/10.3390/rs14102333.
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    ZHANG, M. - SINGH, H. - CHOK, L. - CHUNARA, R. Segmenting across places: The need for fair transfer learning with satellite imagery. In 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022. ISSN 2160-7508, 2022, p. 2915-2924. Dostupné na: https://doi.org/10.1109/CVPRW56347.2022.00329.
    DAI, B.B. - WANG, Y.M. - YE, C.Y. - LI, Q.H. - YUAN, C.M. - LU, S. - LI, Y.Y. A Novel Method for Extracting Time Series Information of Deformation Area of a Single Landslide Based on Improved U-Net Neural Network. In FRONTIERS IN EARTH SCIENCE, 2021, vol. 9. art. no. 785476. Dostupné na: https://doi.org/10.3389/feart.2021.785476.
    CategoryADCA - Scientific papers in foreign journals registered in Current Contents Connect with IF (impacted)
    Category of document (from 2022)V3 - Vedecký výstup publikačnej činnosti z časopisu
    Type of documentčlánok
    Year2021
    Registered inWOS
    Registered inSCOPUS
    Registered inCCC
    DOI 10.1038/s41598-021-94190-9
    article

    article

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    42-2021 A comprehensive transferability.pdfNeprístupný/archív4.9 MB0Publisher's version
    rokCCIFIF Q (best)JCR Av Jour IF PercSJRSJR Q (best)CiteScore
    A
    rok vydaniarok metrikyIFIF Q (best)SJRSJR Q (best)
    202120204.380Q11.240Q1
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