Skip to content
View ArminMoghimi's full-sized avatar
💭
I may be slow to respond.
💭
I may be slow to respond.
  • Leibniz University Hannover
  • Germany, Hannover

Block or report ArminMoghimi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Fine-tune-the-Segment-Anything-Model-SAM- Fine-tune-the-Segment-Anything-Model-SAM- Public

    A. Moghimi, M. Welzel, T. Celik, and T. Schlurmann, "A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range …

    Jupyter Notebook 28 8

  2. keypoint-based-RRN keypoint-based-RRN Public template

    (A. Moghimi, T. Celik, A. Mohammadzadeh and H. Kusetogullari, "Comparison of Keypoint Detectors and Descriptors for Relative Radiometric Normalization of Bitemporal Remote Sensing Images," in IEEE …

    MATLAB 16 3

  3. Tensor-based-keypoint-detection Tensor-based-keypoint-detection Public

    Optimizing Relative Radiometric Normalization: Minimizing Residual Distortions in Multispectral Bitemporal Images Using Trust-Region Reflective and Laplacian Pyramid Fusion

    MATLAB 7 3

  4. Awesome-Remote-Sensing-Relative-Radiometric-Normalization-Datasets Awesome-Remote-Sensing-Relative-Radiometric-Normalization-Datasets Public

    A. Moghimi, A. Mohammadzadeh, T. Celik and M. Amani, "A Novel Radiometric Control Set Sample Selection Strategy for Relative Radiometric Normalization of Multitemporal Satellite Images," in IEEE Tr…

    20 3

  5. LIRRN LIRRN Public

    LIRRN: Location-Independent Relative Radiometric Normalization of Bitemporal Remote-Sensing Images

    MATLAB 3

  6. CA-LMoETransUNet CA-LMoETransUNet Public

    Forked from aj1365/CA-LMoETransUNet

    This code is for the paper "CA-MTransUNet: Cloud-Aware Mixture-of-Experts Linear Transformer U-Net for forest burned area (FBA) mapping using Sentinel-1 and Sentinel-2 images" that is published in …

    Jupyter Notebook 1