{"title":"An On-Site InSAR Terrain Imaging Method with Unmanned Aerial Vehicles","authors":"Hsu-Yueh Chuang, Jean‐Fu Kiang","doi":"10.3390/s24072287","DOIUrl":null,"url":null,"abstract":"An on-site InSAR imaging method carried out with unmanned aerial vehicles (UAVs) is proposed to monitor terrain changes with high spatial resolution, short revisit time, and high flexibility. To survey and explore a specific area of interest in real time, a combination of a least-square phase unwrapping technique and a mean filter for removing speckles is effective in reconstructing the terrain profile. The proposed method is validated by simulations on three scenarios scaled down from the high-resolution digital elevation models of the US geological survey (USGS) 3D elevation program (3DEP) datasets. The efficacy of the proposed method and the efficiency in CPU time are validated by comparing with several state-of-the-art techniques.","PeriodicalId":221960,"journal":{"name":"Sensors (Basel, Switzerland)","volume":"70 19","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors (Basel, Switzerland)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/s24072287","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An on-site InSAR imaging method carried out with unmanned aerial vehicles (UAVs) is proposed to monitor terrain changes with high spatial resolution, short revisit time, and high flexibility. To survey and explore a specific area of interest in real time, a combination of a least-square phase unwrapping technique and a mean filter for removing speckles is effective in reconstructing the terrain profile. The proposed method is validated by simulations on three scenarios scaled down from the high-resolution digital elevation models of the US geological survey (USGS) 3D elevation program (3DEP) datasets. The efficacy of the proposed method and the efficiency in CPU time are validated by comparing with several state-of-the-art techniques.
提出了一种利用无人飞行器(UAVs)进行现场 InSAR 成像的方法,以高空间分辨率、短重访时间和高灵活性监测地形变化。为了实时勘测和探索感兴趣的特定区域,将最小平方相位解包技术与去除斑点的均值滤波器相结合,可有效重建地形剖面。通过对美国地质调查局(USGS)三维高程计划(3DEP)数据集的高分辨率数字高程模型缩小的三个场景进行模拟,验证了所提出的方法。通过与几种最先进的技术进行比较,验证了所提方法的功效和 CPU 时间效率。