{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:00:10Z","timestamp":1760144410598,"version":"build-2065373602"},"reference-count":22,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T00:00:00Z","timestamp":1713398400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFD2401202","2022YFF0503904","2022A1515010113","GXWD20220811163556003","2022-JCJQ-JJ-0287","ZR202209130044"],"award-info":[{"award-number":["2022YFD2401202","2022YFF0503904","2022A1515010113","GXWD20220811163556003","2022-JCJQ-JJ-0287","ZR202209130044"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2022YFD2401202","2022YFF0503904","2022A1515010113","GXWD20220811163556003","2022-JCJQ-JJ-0287","ZR202209130044"],"award-info":[{"award-number":["2022YFD2401202","2022YFF0503904","2022A1515010113","GXWD20220811163556003","2022-JCJQ-JJ-0287","ZR202209130044"]}]},{"name":"Shenzhen Higher Education Institutions Stabilization Support Program Project","award":["2022YFD2401202","2022YFF0503904","2022A1515010113","GXWD20220811163556003","2022-JCJQ-JJ-0287","ZR202209130044"],"award-info":[{"award-number":["2022YFD2401202","2022YFF0503904","2022A1515010113","GXWD20220811163556003","2022-JCJQ-JJ-0287","ZR202209130044"]}]},{"name":"National Defense Basic Scientific Research Funds","award":["2022YFD2401202","2022YFF0503904","2022A1515010113","GXWD20220811163556003","2022-JCJQ-JJ-0287","ZR202209130044"],"award-info":[{"award-number":["2022YFD2401202","2022YFF0503904","2022A1515010113","GXWD20220811163556003","2022-JCJQ-JJ-0287","ZR202209130044"]}]},{"DOI":"10.13039\/501100007129","name":"Shandong Natural Science Foundation","doi-asserted-by":"publisher","award":["2022YFD2401202","2022YFF0503904","2022A1515010113","GXWD20220811163556003","2022-JCJQ-JJ-0287","ZR202209130044"],"award-info":[{"award-number":["2022YFD2401202","2022YFF0503904","2022A1515010113","GXWD20220811163556003","2022-JCJQ-JJ-0287","ZR202209130044"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In recent years, the three-dimensional (3D) radar detection range has played an essential role in the layout of devices such as aircraft and drones. To compensate for the shortcomings of three-dimensional calculations for radar terrain masking, a new calculation method is proposed for assessing the terrain occlusion of radar detection range. First, the high-dimensional electromagnetic data after discretization are modeled based on the tensor data structure, and the tensor grid dilation operator is constructed. Then, the dilation process begins from the overlapping section of the radar detection range and terrain, and it is adjusted by the terrain occlusion judgment factor and the dilation judgment factor to obtain the obstructed part due to the terrain. Finally, the actual radar detection range under terrain occlusion is obtained. The simulation results show that the method proposed in this paper can adapt to different grid sizes and terrain shapes, significantly enhancing computational efficiency while maintaining internal features.<\/jats:p>","DOI":"10.3390\/rs16081432","type":"journal-article","created":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T06:21:12Z","timestamp":1713421272000},"page":"1432","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Calculation Model of Radar Terrain Masking Based on Tensor Grid Dilation Operator"],"prefix":"10.3390","volume":"16","author":[{"given":"Kaiyu","family":"Nie","sequence":"first","affiliation":[{"name":"Institute of Space Science and Applied Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"},{"name":"Key Laboratory of Aerospace RS Big-Data Intelligent Processing and Application of Guangdong Higher Education Institutes, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"}]},{"given":"Shengliang","family":"Fang","sequence":"additional","affiliation":[{"name":"College of Aerospace Information, Space Engineering University, Beijing 101416, China"}]},{"given":"Hao","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China"},{"name":"Wuhan Institute of Digital Engineering, Wuhan 430205, China"}]},{"given":"Xiaofeng","family":"Wei","sequence":"additional","affiliation":[{"name":"Institute of Space Science and Applied Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"},{"name":"Key Laboratory of Aerospace RS Big-Data Intelligent Processing and Application of Guangdong Higher Education Institutes, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"}]},{"given":"Yamin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Space Science and Applied Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"},{"name":"Key Laboratory of Aerospace RS Big-Data Intelligent Processing and Application of Guangdong Higher Education Institutes, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"}]},{"given":"Jianpeng","family":"Yang","sequence":"additional","affiliation":[{"name":"ShanDong StarSAT Technology Co., Ltd., Yantai 264000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5515-3683","authenticated-orcid":false,"given":"Qinglei","family":"Kong","sequence":"additional","affiliation":[{"name":"Institute of Space Science and Applied Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"},{"name":"Key Laboratory of Aerospace RS Big-Data Intelligent Processing and Application of Guangdong Higher Education Institutes, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"}]},{"given":"Bo","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Space Science and Applied Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"},{"name":"Key Laboratory of Aerospace RS Big-Data Intelligent Processing and Application of Guangdong Higher Education Institutes, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,4,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1190","DOI":"10.1016\/j.simpat.2008.06.005","article-title":"3D representation of Radar coverage in complicated environment","volume":"16","author":"Chen","year":"2008","journal-title":"Simul. 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