Giter Club home page Giter Club logo

opfa_matlab's Introduction

RZPFA_matlab

A demo of Gotcha Large Scene data orthorectified imaging with DEM via Orthorectified Polar Format Algorithm (OPFA)

When using this code please cite the relevant papers below:

[1] Hu, Ruizhi, et al. "Orthorectified Polar Format Algorithm for Generalized Spotlight SAR Imaging With DEM." IEEE Transactions on Geoscience and Remote Sensing (2020).
[2] Hu, Ruizhi, et al. "Refocusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary Region of Interest." IEEE Transactions on Geoscience and Remote Sensing 57.10 (2019): 7995-8012
[3] Hu, Ruizhi, et al. "Curvilinear Video-SAR Persistent Imaging with Distortion Correction Based on Nufft-3." IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019

Contents:

  1. DEM_imaging_OPFA_demo.m : main program for DEM imaging
  2. getdem.m : get the DEM for any ROI
  3. geotiffread_modified.m : a modified function to read DEM data to avoid error
  4. opfaw.m : Imgaing function with DEM (OPFA in [1])
  5. opfawo.m : Imgaing function without DEM (RZPFA-3 in [2])
  6. db20.m : a simple function to show image in Decibel

Dependencies:

  1. Gotcha Large Scene data (Disc1.zip and Disc2.zip) are available on https://www.sdms.afrl.af.mil./content/public-data/s3_scripts/index.php?file=GotchaLargeSceneData-Disc1.zip with registration

  2. The DEM data "USGS_13_n40w085.tif", avaiable on https://www.sciencebase.gov/catalog/item/5deb329ae4b02caea0f0ea8f (link expired) https://drive.google.com/file/d/1nNERs5p1hNhjOm359Um7jEMKlOGqqTI_/view?usp=sharing

  3. NuFFT-3 code in this program is provided on: https://cims.nyu.edu/cmcl/nufft/nufftall-1.3.3.tar.gz

    Mexfile should be built for Matlab to call.

    Please also cite their papers below if you are using their codes.

    • Accelerating the Nonuniform Fast Fourier Transform: (L. Greengard and J.-Y. Lee) SIAM Review 46, 443 (2004).

    • The type 3 nonuniform FFT and its applications: (J.-Y. Lee and L. Greengard) J. Comput. Phys. 206, 1 (2005).

    Other NuFFT-3 schemes are applicable, such as FINUFFT on: https://finufft.readthedocs.io/en/latest/ Quite fast, but tends to crush when data or image is large.

    • Barnett, Alexander H., Jeremy Magland, and Ludvig af Klinteberg. "A Parallel Nonuniform Fast Fourier Transform Library Based on an “Exponential of Semicircle" Kernel." SIAM Journal on Scientific Computing 41.5 (2019): C479-C504.

Results

image image

opfa_matlab's People

Contributors

fred9076 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.