Spaceborne demonstration of coherent SAR tomography for future companion satellite SAR missions

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2017-07-28 DOI:10.1109/IGARSS.2017.8126911

M. Nannini, M. Martone, P. Rizzoli, P. Prats, M. Rodríguez-Cassola, A. Moreira

{"title":"Spaceborne demonstration of coherent SAR tomography for future companion satellite SAR missions","authors":"M. Nannini, M. Martone, P. Rizzoli, P. Prats, M. Rodríguez-Cassola, A. Moreira","doi":"10.1109/IGARSS.2017.8126911","DOIUrl":null,"url":null,"abstract":"This contribution is dedicated to present tomographic investigations on 3D vegetation imaging for future spaceborne SAR missions. The main problem to tackle when performing tomography via repeat-pass spaceborne data is that the temporal decorrelation between acquisitions can be very severe making it difficult to achieve reliable results. In this context, if two or more sensors are available to perform the surveys, a set of quasi-simultaneous data can be achieved for a certain time instant. It is understood that for such data the temporal decorrelation effect as well as the atmospheric artefacts will be strongly mitigated. By varying the acquisition geometry, it is in principle now possible to achieve cross-range resolution and retrieve the vertical profile via SAR tomography. The present paper focuses on a two-satellite scenario like TanDEM-X [1], Tandem-L [2], SAOCOM-CS [3]. In particular, TanDEM-X data, acquired in a pursuit monostatic mode, is employed to perform the demonstration over boreal as well as tropical forest.","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"7 1","pages":"129-132"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2017.8126911","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 8

Abstract

This contribution is dedicated to present tomographic investigations on 3D vegetation imaging for future spaceborne SAR missions. The main problem to tackle when performing tomography via repeat-pass spaceborne data is that the temporal decorrelation between acquisitions can be very severe making it difficult to achieve reliable results. In this context, if two or more sensors are available to perform the surveys, a set of quasi-simultaneous data can be achieved for a certain time instant. It is understood that for such data the temporal decorrelation effect as well as the atmospheric artefacts will be strongly mitigated. By varying the acquisition geometry, it is in principle now possible to achieve cross-range resolution and retrieve the vertical profile via SAR tomography. The present paper focuses on a two-satellite scenario like TanDEM-X [1], Tandem-L [2], SAOCOM-CS [3]. In particular, TanDEM-X data, acquired in a pursuit monostatic mode, is employed to perform the demonstration over boreal as well as tropical forest.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

未来伴星SAR任务相干SAR层析成像的星载演示

该贡献致力于为未来的星载SAR任务提供三维植被成像的层析成像研究。当通过重复传递的星载数据进行断层扫描时，需要解决的主要问题是，采集之间的时间去相关可能非常严重，难以获得可靠的结果。在这种情况下，如果有两个或多个传感器可用来执行测量，则可以在特定时间瞬间获得一组准同时数据。据了解，对于这类数据，时间去相关效应以及大气人为影响将被大大减轻。通过改变采集几何形状，原则上现在可以实现跨距离分辨率，并通过SAR层析成像检索垂直剖面。本文主要研究双卫星场景，如TanDEM-X[1]、Tandem-L[2]、SAOCOM-CS[3]。特别是，以单静态追踪模式获得的TanDEM-X数据被用于在北方森林和热带森林上进行演示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

自引率

0.00%

发文量