Apache License 2.0

项目介绍

isce-framework/fringe 是一个托管在 GitHub 上的开源项目,主要使用 C++ 编写,采用 Apache License 2.0 许可证,目前获得 101 个 Star、43 次 Fork。

仓库全名
isce-framework/fringe
开源许可证
Apache License 2.0
Star 数
101
Fork 数
43
未关闭 Issue
18

README 摘要

FRInGE Fine Resolution InSAR using Generalized Eigenvectors FRInGE is a package written in C++ / Python which contains tools to estimate deformation time-series by exploiting interferometric covariance matrice for distributed scatterers (DS) and the phase history of pixels that exhibit very little temporal variation (PS). Its development was funded under the NASA Earth Surface and Interior (ESI) program (NTR-51454)…

完整内容见 GitHub 原始 README 或本页 。

常见问题

fringe 用什么语言开发?

主要使用 C++ 编写,采用 Apache License 2.0 许可证,目前有 101 个 Star。

fringe 可以免费商用吗?

仓库采用 Apache License 2.0 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 fringe 的源码?

可以直接克隆仓库:git clone https://github.com/isce-framework/fringe.git,默认分支为 main;安装与运行步骤见仓库 README。

fringe 最近还在维护吗?

仓库最近一次更新为 2022年9月23日,当前有 18 个未关闭 Issue;Star 数为 101,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Fine Resolution InSAR With Generalized Eigenvectors (FRInGE)

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
288
价值分
82
活跃状态
活跃

语言占比

C
C++
CMake
Cuda
Cython
MATLAB
Python
Shell

README

FRInGE

Codacy Badge


Fine Resolution InSAR using Generalized Eigenvectors

FRInGE is a package written in C++ / Python which contains tools to estimate deformation time-series by exploiting interferometric covariance matrice for distributed scatterers (DS) and the phase history of pixels that exhibit very little temporal variation (PS). Its development was funded under the NASA Earth Surface and Interior (ESI) program (NTR-51454). U.S. Government sponsorship acknowledged.

Copyright © 2019-2020, California Institute of Technology (“Caltech”). All rights reserved.

THIS IS RESEARCH CODE PROVIDED TO YOU “AS IS” WITH NO WARRANTIES OF CORRECTNESS. USE AT YOUR OWN RISK.

Contents


  1. Software prerequisites and installation
  2. Detailed documentation of processing modules
  3. Detailed documentation of workflows
  4. Note of thanks
  5. TODO list

Citation


  1. Fattahi, H., Agram, P.S., Tymofyeyeva, E. and Bekaert, D.P., 2019. FRInGE; Full-Resolution InSAR timeseries using Generalized Eigenvectors. AGUFM, 2019, pp.G11B-0514.

  2. Tymofyeyeva, E., Agram, P.S., Fattahi, H. and Bekaert, D.P., 2019. Transient creep on the Concord Fault, Eastern Bay Area, revealed by InSAR time series. AGUFM, 2019, pp.T13D-0304.

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