{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T15:07:48Z","timestamp":1745420868105,"version":"3.37.3"},"reference-count":31,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T00:00:00Z","timestamp":1582070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61301278"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province","doi-asserted-by":"publisher","award":["2018CFB540"],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Philosophy and Social Science Foundation of Hubei Province","award":["19Q062"]},{"name":"Open Foundation of Hubei Collaborative Innovation Centre for High-efficient Utilization of Solar Energy","award":["HBSKFM2014001"]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["No.201808420417"],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"Due to increasingly complex factors of image degradation, inferring high-frequency details of remote sensing imagery is more difficult compared to ordinary digital photos. This paper proposes an adaptive multi-scale feature fusion network (AMFFN) for remote sensing image super-resolution. Firstly, the features are extracted from the original low-resolution image. Then several adaptive multi-scale feature extraction (AMFE) modules, the squeeze-and-excited and adaptive gating mechanisms are adopted for feature extraction and fusion. Finally, the sub-pixel convolution method is used to reconstruct the high-resolution image. Experiments are performed on three datasets, the key characteristics, such as the number of AMFEs and the gating connection way are studied, and super-resolution of remote sensing imagery of different scale factors are qualitatively and quantitatively analyzed. The results show that our method outperforms the classic methods, such as Super-Resolution Convolutional Neural Network(SRCNN), Efficient Sub-Pixel Convolutional Network (ESPCN), and multi-scale residual CNN(MSRN).<\/jats:p>","DOI":"10.3390\/s20041142","type":"journal-article","created":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T08:20:03Z","timestamp":1582186803000},"page":"1142","source":"Crossref","is-referenced-by-count":33,"title":["Remote Sensing Imagery Super Resolution Based on Adaptive Multi-Scale Feature Fusion Network"],"prefix":"10.3390","volume":"20","author":[{"given":"Xinying","family":"Wang","sequence":"first","affiliation":[{"name":"School of Science, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China"},{"name":"Hubei Collaborative Innovation Centre for High-Efficient Utilization of Solar Energy, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China"}]},{"given":"Yingdan","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Science, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China"},{"name":"Hubei Collaborative Innovation Centre for High-Efficient Utilization of Solar Energy, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China"},{"name":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA"},{"name":"Hubei Engineering Technology Research Center of Energy Photoelectric Deviceand System, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China"}]},{"given":"Yang","family":"Ming","sequence":"additional","affiliation":[{"name":"Institute of Surveying and Mapping, CCCC Second Highway Consultants Co., Ltd, No. 18 Chuangye Road, Wuhan 430056, China"}]},{"given":"Hui","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Science, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China"},{"name":"Hubei Collaborative Innovation Centre for High-Efficient Utilization of Solar Energy, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China"},{"name":"Hubei Engineering Technology Research Center of Energy Photoelectric Deviceand System, Hubei University of Technology, No. 28 Nanli Road, Wuhan 430068, China"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Yang, C., Ma, C., and Yang, M. 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