A Python Based InSAR Processing Tool For ISRO SAR Missions

Rajvi Panchal, S. Chirakkal, D. Putrevu, A. Misra
{"title":"A Python Based InSAR Processing Tool For ISRO SAR Missions","authors":"Rajvi Panchal, S. Chirakkal, D. Putrevu, A. Misra","doi":"10.23919/URSIAP-RASC.2019.8738729","DOIUrl":null,"url":null,"abstract":"Interferometric Synthetic Aperture Radar (InSAR) is a remote sensing technique widely used to generate elevation maps, commonly known as interferograms, that depicts surface deformations and topographic trends. Changes in topography and deformations can be measured over span of days to years and are recorded in the form of fringes. Taking into consideration the upcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission, which is designed to support wide-swath interferometry, it is high time to develop a InSAR processing tool dedicated to ISRO missions. Due to its versatile features, popularity, flexibility and the huge library support, the tool development was chosen to be in Python3 programming language. In this paper the first results obtained from the in-house developed, python 3 based, software tool for InSAR processing are presented. The tool is slated to become part of the Microwave Data Analysis Software (MIDAS) of SAC, which is a generic SAR processing software suite. Currently, the tool accepts ERS 1/2, ENVISAT, RADARSAT-2 and ALOS-2 data. For verification purpose, the outputs generated by the tool are compared with those generated by the freely available Delft Object-oriented Radar Interferometric Software (DORIS) developed by the Delft Institute of Earth Observation and Space Systems (DEOS), Delft University of Technology.","PeriodicalId":344386,"journal":{"name":"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIAP-RASC.2019.8738729","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

Interferometric Synthetic Aperture Radar (InSAR) is a remote sensing technique widely used to generate elevation maps, commonly known as interferograms, that depicts surface deformations and topographic trends. Changes in topography and deformations can be measured over span of days to years and are recorded in the form of fringes. Taking into consideration the upcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission, which is designed to support wide-swath interferometry, it is high time to develop a InSAR processing tool dedicated to ISRO missions. Due to its versatile features, popularity, flexibility and the huge library support, the tool development was chosen to be in Python3 programming language. In this paper the first results obtained from the in-house developed, python 3 based, software tool for InSAR processing are presented. The tool is slated to become part of the Microwave Data Analysis Software (MIDAS) of SAC, which is a generic SAR processing software suite. Currently, the tool accepts ERS 1/2, ENVISAT, RADARSAT-2 and ALOS-2 data. For verification purpose, the outputs generated by the tool are compared with those generated by the freely available Delft Object-oriented Radar Interferometric Software (DORIS) developed by the Delft Institute of Earth Observation and Space Systems (DEOS), Delft University of Technology.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于ISRO SAR任务的基于Python的InSAR处理工具
干涉合成孔径雷达(InSAR)是一种广泛用于生成高程图的遥感技术,通常称为干涉图,描绘地表变形和地形趋势。地形和变形的变化可以在几天到几年的时间内测量,并以条纹的形式记录下来。考虑到即将到来的NASA-ISRO合成孔径雷达(NISAR)任务,该任务旨在支持宽幅干涉测量,开发专用于ISRO任务的InSAR处理工具是时候了。由于它的通用特性、流行度、灵活性和巨大的库支持,工具开发被选择在Python3编程语言。本文介绍了自主开发的基于python 3的InSAR处理软件工具的初步结果。该工具将成为SAC微波数据分析软件(MIDAS)的一部分,这是一种通用的SAR处理软件套件。目前,该工具接受ERS 1/2、ENVISAT、RADARSAT-2和ALOS-2数据。为了验证目的,将该工具产生的输出与代尔夫特理工大学代尔夫特地球观测和空间系统研究所(DEOS)开发的免费代尔夫特面向对象雷达干涉软件(DORIS)产生的输出进行比较。
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
自引率
0.00%
发文量
0
期刊最新文献
Evaluation of Dielectric Measurements upon Thin Single Layer Solids using OpenCoaxial Probe Technology Approaches for Interference-proof Future Radar Systems mm-Wave Experimental Scanning System to Determine the Complete Field by Near-to-Near Field and Near-to-Far Field Transformation On correlation between SID monitor and GPS-derived TEC observations during a massive ionospheric storm development Cellphone radiofrequency radiation induced inflammatory response and oxidative stress in rat brain
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1