{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T06:56:05Z","timestamp":1764053765133,"version":"3.44.0"},"reference-count":55,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T00:00:00Z","timestamp":1641859200000},"content-version":"vor","delay-in-days":10,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005693","name":"Hainan University","doi-asserted-by":"publisher","award":["KYQD(ZR)-21008","KYQD(ZR)-21007","HDQN202103"],"award-info":[{"award-number":["KYQD(ZR)-21008","KYQD(ZR)-21007","HDQN202103"]}],"id":[{"id":"10.13039\/501100005693","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004761","name":"Natural Science Foundation of Hainan Province","doi-asserted-by":"publisher","award":["2019CXTD400"],"award-info":[{"award-number":["2019CXTD400"]}],"id":[{"id":"10.13039\/501100004761","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p>A two\u2010stream remote sensing image fusion network (RCAMTFNet) based on the residual channel attention mechanism is proposed by introducing the residual channel attention mechanism (RCAM) in this paper. In the RCAMTFNet, the spatial features of PAN and the spectral features of MS are extracted, respectively, by a two\u2010channel feature extraction layer. Multiresidual connections allow the network to adapt to a deeper network structure without the degradation. The residual channel attention mechanism is introduced to learn the interdependence between channels, and then the correlation features among channels are adapted on the basis of the dependency. In this way, image spatial information and spectral information are extracted exclusively. What is more, pansharpening images are reconstructed across the board. Experiments are conducted on two satellite datasets, GaoFen\u20102 and WorldView\u20102. The experimental results show that the proposed algorithm is superior to the algorithms to some existing literature in the comparison of the values of reference evaluation indicators and nonreference evaluation indicators.<\/jats:p>","DOI":"10.1155\/2022\/8476000","type":"journal-article","created":{"date-parts":[[2022,1,11]],"date-time":"2022-01-11T18:20:06Z","timestamp":1641925206000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Remote Sensing Image Fusion Algorithm Based on Two\u2010Stream Fusion Network and Residual Channel Attention Mechanism"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5709-703X","authenticated-orcid":false,"given":"Mengxing","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenfeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8627-2028","authenticated-orcid":false,"given":"Siling","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Di","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3409-2970","authenticated-orcid":false,"given":"Yuanyuan","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0073-1965","authenticated-orcid":false,"given":"Feng","family":"Shu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,1,11]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2523563"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-019-1193-8"},{"key":"e_1_2_9_3_2","article-title":"A novel data-based stochastic distribution control for non-gaussian stochastic systems","volume":"99","author":"Zhang Q.","year":"2021","journal-title":"IEEE transactions on automatic control"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3085893"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.3390\/rs12010143"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.05.006"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2019.2949353"},{"key":"e_1_2_9_8_2","doi-asserted-by":"crossref","unstructured":"JingL. 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