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clutterfree-gbinsar's Introduction

🙋‍♂️ Hi, I'm @Benyaminhosseiny, PhD in remote sensing engineering.

👨‍💻 My current projects and research works revolve around SAR signal processing, and developing machine/deep learning frameworks for various applications of earth observation.
📝 I try to share my implementations here, but if you came across to my publications and couldn't find the codes, feel free to reach out.

clutterfree-gbinsar's People

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clutterfree-gbinsar's Issues

Bug in ClutterR_Part1_rawdata.m: Undefined function “displacement_model_sin_TS

Description

As instructed by the README.md, we tried running the ClutterR_Part1_rawdata.m first. However, upon execution, MATLAB throws an error indicating that the function displacement_model_sin_TS is undefined. This issue occurs at line 111, where the function is called.

Steps to Reproduce

  1. Run the ClutterR_Part1_rawdata.m script in MATLAB.
  2. Error is thrown at line 111 with the following message: `Undefined function 'displacement_model_sin_TS'

Expected Behavior

The script should run without errors, and the function displacement_model_sin_TS should compute the displacement as intended.

Actual Behavior

The script stops execution due to the undefined function error, and no output is generated.

Possible Fix

It seems that the function displacement_model_sin_TS might be missing from the repository. If this function is a custom utility that's expected to be part of the codebase, it may not have been included in the list of files. Could you please check if this function is part of a separate file that needs to be uploaded? It would be greatly appreciated if you could provide this function or guide on how to implement it if it is not meant to be included.

Operating Environment

  • MATLAB version: [MATLAB R2023a]
  • Operating System: [Window 10]

Screenshots

1708604595159

Additional Context

Firstly, I appreciate your constructive contributions to GB-SAR and the publication of high-quality papers. Your work not only inspires but also serves as a valuable reference.

Furthermore, I am deeply grateful for your willingness to share your code on the GitHub platform,this would contribute to result reproducibility and serve as a valuable resource for our community.

Thank you once again for your outstanding work. I look forward with interest to any future updates you may choose to share, particularly regarding the code for your published high-quality papers. Your current and potential contributions are highly valued within our community.

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