Abstract
No public abstract is available from the verified source records.
Hanyu Hong
Abstract
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
unpaywall
Confidence 95%
datacite
Confidence 0%
No local citing links have been materialized yet.
10.1109/tgrs.2024.3428835
10.1109/tgrs.2024.3428835
10.3390/rs12203283
10.3390/rs12203283
10.1109/lgrs.2022.3205619
10.1109/lgrs.2022.3205619
10.1109/jstars.2023.3325370
10.1109/jstars.2023.3325370
10.1109/jstars.2024.3386854
10.1109/jstars.2024.3386854
10.1109/jstars.2024.3355290
10.1109/jstars.2024.3355290
10.1109/tgrs.2012.2192937
10.1109/tgrs.2012.2192937
10.1109/36.551935
10.1109/36.551935
10.1109/36.673687
10.1109/36.673687
10.1109/tgrs.2005.852084
10.1109/tgrs.2005.852084
10.1109/tgrs.2009.2023908
10.1109/tgrs.2009.2023908
10.1016/j.isprsjprs.2015.03.002
10.1016/j.isprsjprs.2015.03.002
10.1109/tcsvt.2023.3265751
10.1109/tcsvt.2023.3265751
10.1109/tmm.2024.3407661
10.1109/tmm.2024.3407661
10.1016/j.isprsjprs.2020.06.014
10.1016/j.isprsjprs.2020.06.014
10.1109/tgrs.2024.3363504
10.1109/tgrs.2024.3363504
10.1109/lgrs.2016.2618840
10.1109/lgrs.2016.2618840
10.1109/tgrs.2017.2743222
10.1109/tgrs.2017.2743222
10.1109/lgrs.2018.2799877
10.1109/lgrs.2018.2799877
10.1109/lgrs.2019.2940387
10.1109/lgrs.2019.2940387
10.1109/jstars.2020.3018161
10.1109/jstars.2020.3018161
10.1109/tgrs.2020.3043191
10.1109/tgrs.2020.3043191
10.1109/jstars.2025.3530136
10.1109/jstars.2025.3530136
10.1109/jstars.2024.3409775
10.1109/jstars.2024.3409775
Generative pretraining from pixels
2020
An image is worth 16x16 words: Transformers for image recognition at scale
2020
Transformer in transformer
2021
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986
10.1007/978-3-031-72949-2_21
10.1007/978-3-031-72949-2_21
10.1109/tgrs.2021.3137383
10.1109/tgrs.2021.3137383
10.1109/lgrs.2023.3239263
10.1109/lgrs.2023.3239263
10.1109/lgrs.2023.3270488
10.1109/lgrs.2023.3270488
10.1109/jstars.2024.3384420
10.1109/jstars.2024.3384420
10.1109/cvprw.2018.00121
10.1109/cvprw.2018.00121
Wavelet convolutional neural networks
2018
10.3390/s22187010
10.3390/s22187010
10.1109/jstars.2025.3559708
10.1109/jstars.2025.3559708
10.1109/jstars.2024.3422175
10.1109/jstars.2024.3422175
10.3390/rs16061094
10.3390/rs16061094
10.1109/lgrs.2022.3185118
10.1109/lgrs.2022.3185118
10.1016/j.jag.2025.104412
10.1016/j.jag.2025.104412 · doi-reference
10.1109/jstars.2024.3453936
10.1109/jstars.2024.3453936 · doi-reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · doi-reference
10.1109/36.964970
10.1109/36.964970 · doi-reference
10.1109/tgrs.2017.2714169
10.1109/tgrs.2017.2714169 · doi-reference
10.5555/3104322.3104425
10.5555/3104322.3104425 · doi-reference
10.1016/j.neunet.2017.12.012
10.1016/j.neunet.2017.12.012 · doi-reference
10.1109/cvpr52733.2024.02094
10.1109/cvpr52733.2024.02094 · doi-reference
10.1109/36.485127
10.1109/36.485127 · doi-reference
10.1201/9781420054989
10.1201/9781420054989 · doi-reference
10.1016/j.isprsjprs.2023.07.006
10.1016/j.isprsjprs.2023.07.006 · doi-reference
10.1109/jstars.2023.3241944
10.1109/jstars.2023.3241944 · doi-reference