{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T16:14:50Z","timestamp":1781885690831,"version":"3.54.5"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62371140"],"award-info":[{"award-number":["62371140"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2022YFB3903404"],"award-info":[{"award-number":["2022YFB3903404"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/jstars.2025.3545831","type":"journal-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T13:56:36Z","timestamp":1740578196000},"page":"7207-7220","source":"Crossref","is-referenced-by-count":6,"title":["DSF2-NAS: Dual-Stage Feature Fusion via Network Architecture Search for Classification of Multimodal Remote Sensing Images"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-6675-2948","authenticated-orcid":false,"given":"Shiyang","family":"Feng","sequence":"first","affiliation":[{"name":"Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaowei","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8052-782X","authenticated-orcid":false,"given":"Bo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Multimodal Foundation Data Group, Shanghai Artificial Intelligence Laboratory, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0779-9818","authenticated-orcid":false,"given":"Tao","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4748-6426","authenticated-orcid":false,"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2305441"},{"key":"ref2","article-title":"Berlin-urban-gradient dataset 2009An EnMAP preparatory flight campaign","author":"Okujeni"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5194\/essd-15-113-2023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3322470"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3224068"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs15051454"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.875787"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3292065"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3227172"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3215513"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-022-3588-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3016820"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-020-3084-1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2890705"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.10.006"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3017414"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00054"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3124913"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3121028"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3162964"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3286826"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3130716"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2969024"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3284671"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054824"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3186480"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467262"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3298796"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25566-3_40"},{"key":"ref30","first-page":"1","article-title":"DARTS: Differentiable architecture search","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu","year":"2018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106622"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3108352"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20872"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3193273"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2900302"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s11431-021-1978-6"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3217061"},{"key":"ref38","article-title":"Attention is all you need","volume-title":"Advances in Neural Information Processing Systems","author":"Vaswani","year":"2017"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3494244"},{"key":"ref40","first-page":"1","article-title":"Designing neural network architectures using reinforcement learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Baker","year":"2017"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref42","first-page":"1","article-title":"Neural architecture search with reinforcement learning","volume-title":"Int. Conf. Learn. Representations","author":"Zoph","year":"2017"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2018.06.015"},{"key":"ref44","first-page":"4095","article-title":"Efficient neural architecture search via parameters sharing","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Pham"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"ref46","first-page":"1","article-title":"DARTS-: Robustly stepping out of performance collapse without indicators","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chu","year":"2020"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01060"},{"key":"ref48","first-page":"1","article-title":"$\\lambda $-DARTS: Mitigating performance collapse by harmonizing operation selection among cells","volume-title":"Proc. 11th Int. Conf. Learn. Representations","author":"Movahedi"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00713"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4609443\/10766875\/10904332.pdf?arnumber=10904332","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T20:58:43Z","timestamp":1771534723000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10904332\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/jstars.2025.3545831","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}