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Most existing CNN-based super-resolution algorithms using PPI (Plan position indicator, which provides a maplike presentation in polar coordinates of range and angle) images plotted by radar data lead to the loss of some valid information by using image processing methods for super-resolution reconstruction. To solve this problem, a weather radar that echoes the super-resolution reconstruction algorithm\u2014based on residual attention back-projection network (RABPN)\u2014is proposed to improve the the radar base data resolution. RABPN consists of multiple Residual Attention Groups (RAGs) connected with long skip connections to form a deep network; each RAG is composed of some residual attention blocks (RABs) connected with short skip connections. The residual attention block mined the mutual relationship between low-resolution radar echoes and high-resolution radar echoes by adding a channel attention mechanism to the deep back-projection network (DBPN). Experimental results demonstrate that RABPN outperforms the algorithms compared in this paper in visual evaluation aspects and quantitative analysis, allowing a more refined radar echo structure, especially in terms of echo details and edge structure features.<\/jats:p>","DOI":"10.3390\/rs15081999","type":"journal-article","created":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T01:33:03Z","timestamp":1681176783000},"page":"1999","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Weather Radar Super-Resolution Reconstruction Based on Residual Attention Back-Projection Network"],"prefix":"10.3390","volume":"15","author":[{"given":"Qiu","family":"Yu","sequence":"first","affiliation":[{"name":"College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"}]},{"given":"Ming","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1123-2790","authenticated-orcid":false,"given":"Qiangyu","family":"Zeng","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0090-2840","authenticated-orcid":false,"given":"Hao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3244-2247","authenticated-orcid":false,"given":"Qingqing","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"}]},{"given":"Xiangyu","family":"Fu","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8295-506X","authenticated-orcid":false,"given":"Zhipeng","family":"Qing","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China"},{"name":"Key Open Laboratory of Atmospheric Sounding, China Meteorological Administration, Chengdu 610225, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1111\/ecog.04028","article-title":"bioRad: Biological analysis and visualization of weather radar data","volume":"42","author":"Dokter","year":"2019","journal-title":"Ecography"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11432-019-2800-0","article-title":"Deep-learning-based extraction of the animal migration patterns from weather radar images","volume":"63","author":"Cui","year":"2020","journal-title":"Sci. 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