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A method for Sentinel-1 DEM outlier removal using 2-D Kalman filter
Geocarto International ( IF 3.8 ) Pub Date : 2020-09-08 , DOI: 10.1080/10106049.2020.1815866
Mohammad Amin Ghannadi 1 , Saeedeh Alebooye 2 , Moein Izadi 3 , Amirreza Moradi 1
Affiliation  

Abstract

The generation of a very accurate and precise digital elevation model (DEM) is one of the main objectives of remote sensing applications. Synthetic-Aperture Radar (SAR) interferometry is one of the most common methods for DEM generation. Moreover, one of the most recent Sentinel-1 missions is SAR imagery. Sometimes due to a variety of errors such as interferogram phase error, DEMs based on SAR interferometry contain outliers in the elevation of points. Thus, they need to be modified and updated. In this study, a 2-D Kalman filter-based method is applied to remove outliers from DEM generated from Sentinel-1 images. The proposed method is examined over an area in Iran and the results are compared with a high resolution and precision DEM. The results demonstrate that the efficiency of the proposed method in the outlier removal and root mean square error (RMSE) of the DEM is improved from 11% to 17%.



中文翻译:

一种使用二维卡尔曼滤波器去除 Sentinel-1 DEM 异常值的方法

摘要

生成非常准确和精确的数字高程模型 (DEM) 是遥感应用的主要目标之一。合成孔径雷达 (SAR) 干涉测量法是最常用的 DEM 生成方法之一。此外,最近的 Sentinel-1 任务之一是 SAR 图像。有时由于干涉图相位误差等多种误差,基于SAR干涉测量的DEM在点的高程中包含异常值。因此,它们需要修改和更新。在这项研究中,应用基于二维卡尔曼滤波器的方法从 Sentinel-1 图像生成的 DEM 中去除异常值。所提出的方法在伊朗的一个地区进行了检查,并将结果与​​高分辨率和精密 DEM 进行了比较。

更新日期:2020-09-08
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