GMTSAR软件InSAR数据处理流程及使用详细说明（GMTSAR:AnInSARProcessingSystemBasedonGenericMappingTools(SecondEdition)）_insar数据处理软件

InSAR

1星需积分: 50 139 浏览量更新于2023-03-16 评论 16 收藏 10.55MB PDF 举报

身份认证购VIP最低享 7 折!

领优惠券(最高得80元）

资源详情

资源评论

资源推荐

Scripps Institution of Oceanography Technical Report

GMTSAR: An InSAR Processing System Based on Generic Mapping Tools

(Second Edition)

David Sandwell

(1)

, Rob Mellors

(2)

, Xiaopeng Tong

(1,3)

, Xiaohua Xu

(1)

, Matt Wei

(4)

, and

Paul Wessel

(5)

May 1, 2011

Revised – June 1, 2016

(1)

Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA

(2)

Lawrence Livermore National Laboratory, Livermore, CA

(3)

Department of Earth and Space Sciences, University of Washington, Seattle, WA

(4)

Graduate School of Oceanography, University of Rhode Island, Narragansett, RI

(5)

Department of Geology and Geophysics, University of Hawaii at Manoa, HI

Abstract

GMTSAR is an open source (GNU General Public License) InSAR processing

system designed for users familiar with Generic Mapping Tools (GMT). The code is

written in C and will compile on any computer where GMT and NETCDF are installed.

The system has three main components: 1) a preprocessor for each satellite data type to

convert the native format and orbital information into a generic format; 2) an InSAR

processor to focus and align stacks of images, map topography into phase, and form the

complex interferogram; 3) a postprocessor, mostly based on GMT, to filter the

interferogram and construct interferometric products of phase, coherence, phase gradient,

and line-of-sight displacement in both radar and geographic coordinates. GMT is used to

display all the products as postscript files and kml-images for Google Earth. A set of C-

shell scripts has been developed for standard 2-pass processing as well as image

alignment for stacking and time series. Users are welcome to contribute to this effort.

1. Introduction

GMTSAR differs from other InSAR systems such as ROI_PAC, Gamma, and DORIS

because it relies on sub-meter orbital accuracy to greatly simplify the SAR and InSAR

processing algorithms. Moreover large batches of SAR images can be automatically

processed with no human intervention. The down side of this approach is that SAR

satellites having less accurate orbits (> 10 m, e.g., RADARSAT-1 and JERS-1) cannot be

easily processed using GMTSAR. Reliance on precise orbits also greatly simplifies the

code so only 4 essential programs (esarp, xcorr, phasediff, conv) are needed beyond the

GMT package. Moreover, geometric and phase accuracy ensures that mosaics of many

frames along a long swath or combinations of ScanSAR subswaths will abut seamlessly

in geographic coordinates. This document contains three main sections and 7 appendices.

Section 1 is an introduction to GMTSAR and the geometric model used to create SAR

and InSAR products without using ground control or applying orbital adjustments.

Section 2 is a description of the overall software design as well as the standard output

products. Section 3 provides recipes for the most common types of InSAR processing

including 2-pass InSAR, stacking/time series, and ScanSAR interferometry. Appendix A

is an overview of principles of SAR processing. Appendix B is a detailed description of

the range-Doppler SAR processor and the parameter file. Appendix C provides the theory

for InSAR processing on a spherical Earth with no approximations. Appendix D

describes the algorithm that we use for ALOS-1 ScanSAR interferometry. Appendix E

describes the geometric image alignment algorithms developed for the TOPS-mode data

from Sentinel-1. Appendix F provides data on the geolocation accuracy of SAR imagery.

Appendix G provides instructions for installation and testing the GMTSAR package.

1.1 Objectives and limitations of GMTSAR

Creating synthetic aperture radar (SAR) images and interferograms (InSAR) from

satellite radar measurements requires specialized front-end computer codes for focusing

imagery and computing interferometric phase. However, much of the back-end

processing and display can be accomplished with existing generic codes. We have

developed a SAR/InSAR processing system that starts with raw (or SLC) SAR data in

radar coordinates, along with precise orbital information, and computes interferometric

products in geographic coordinates. Our design goals are to have a modular and portable

system based on a minimum set of new software. The system relies on precise orbital

information, as discussed below, and a consistent geometric model to achieve proper

focus and image alignment. The SAR processor code was originally derived from the

Stanford/JPL FORTRAN and re-written in the C programming language ensuring

compilation on many platforms using the standard gcc compiler. The remainder of the

front-end code has been developed and refined over the past decade as part of the

SIOSAR and ALOS_preprocess packages.

For the back-end processing we use the Generic Mapping Tools (GMT), which is an

open source collection of programs designed for manipulating and displaying geographic

data sets [Wessel and Smith, 1998; Wessel et al., 2013]. It is widely used among the

geophysical community, well documented, and continuously updated. GMT includes

efficient and robust programs for regridding, filtering, and trend removal, which makes it

highly useful for some aspects of InSAR processing. GMT uses the NETCDF file

format that allows the exchange of files among computers having different architectures.

The combined front- and back-end processing is done using the c-shell scripting

language which is available on all UNIX platforms. We encourage the development of

new modules and InSAR processing recipes from the broader InSAR community. The

剩余119页未读，继续阅读

李晓婧婧婧

2018-03-13

没下？？？？？下来

irxathusan

粉丝: 2
资源: 3

会员权益专享

GMTSAR软件InSAR数据处理流程及使用详细说明（GMTSAR: An InSAR Processing System Ba...

评论2

会员权益专享

最新资源

GMTSAR软件InSAR数据处理流程及使用详细说明（GMTSAR: An InSAR Processing System Ba...

评论2

用matlab编写的一些相关InSAR数据处理程序

InSAR软件教程-GMTSAR

InSAR大数据处理

insar数据处理matlab

insar matlab

sbas-insar数据处理

insar数据读取matlab

InSAR干涉测量流程

InSAR数据处理的步骤

高分三号insar数据采购与处理 采购文件

请详细概述D-InSAR技术的原理，处理方法及流程

insar数据配准matlab

InSAR 大气校正数据 GACOS

s1-insar 数据分辨率

insar软件安装在虚拟机

insar 大气改正 软件

insar slc数据 和grd数据区别

insar中基线图绘制

insar观测矿区沉陷的方法步骤

snap处理insar

会员权益专享

最新资源

高分三号insar数据采购与处理采购文件

insar 大气改正软件

insar slc数据和grd数据区别