{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T16:46:22Z","timestamp":1771951582524,"version":"3.50.1"},"reference-count":22,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022ZD0160400"],"award-info":[{"award-number":["2022ZD0160400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Geosci. Remote Sensing Lett."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/lgrs.2023.3314026","type":"journal-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T15:20:48Z","timestamp":1694445648000},"page":"1-5","source":"Crossref","is-referenced-by-count":9,"title":["NAS-Kernel: Learning Suitable Gaussian Kernel for Remote-Sensing Object Counting"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-3240-2090","authenticated-orcid":false,"given":"Liangliang","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, and the OPtics and ElectroNics (iOPEN), School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6000-8168","authenticated-orcid":false,"given":"Junyu","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2924-946X","authenticated-orcid":false,"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, and the OPtics and ElectroNics (iOPEN), School of Computer Science, Northwestern Polytechnical University, Xi&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/rs14164026"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3022878"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00017"},{"key":"ref20","article-title":"Dual path multi-scale fusion networks with attention for crowd counting","author":"zhu","year":"2019","journal-title":"arXiv 1902 01115"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00122"},{"key":"ref22","article-title":"C3 framework: An open-source PyTorch code for crowd counting","author":"gao","year":"2019","journal-title":"arXiv 1907 02724"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451399"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00203"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3109637"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2919139"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00120"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2017.8078491"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00524"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00211"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00839"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3266884"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.70"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3295802"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3092369"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3153946"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3020555"}],"container-title":["IEEE Geoscience and Remote Sensing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8859\/10034981\/10247016.pdf?arnumber=10247016","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T19:02:49Z","timestamp":1766170969000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10247016\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/lgrs.2023.3314026","relation":{},"ISSN":["1545-598X","1558-0571"],"issn-type":[{"value":"1545-598X","type":"print"},{"value":"1558-0571","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}