ArminMoghimi

ArminMoghimi's Stars

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.9k279241.5k

• wenhwu/awesome-remote-sensing-change-detection

  List of datasets, codes, and contests related to remote sensing change detection

  1.7k4419339

• yyxgiser/CoFSM

  Paper: an executable program of "Multi-modal Remote Sensing Image Matching Considering Co-occurrence Filter" .

  Language:MATLAB23113

• ArminMoghimi/Awesome-Remote-Sensing-Relative-Radiometric-Normalization-Datasets

  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 Transactions on Geoscience and Remote Sensing, vol. 59, no. 3, pp. 2503-2519, March 2021, doi: 10.1109/TGRS.2020.2995394.

  19103

• lenck/vlb-deteval

  Comprehensive detector evaluation of local feature detectors

  Language:MATLAB19317

• ArminMoghimi/keypoint-based-RRN

  (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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2021, doi: https://doi.org/10.1109/JSTARS.2021.3069919

  Language:MATLAB14103

• AminMohsenifar/The-EAMRF-forest-change-detection-method

  Mohsenifar, A., Mohammadzadeh, A., Moghimi, A. and Salehi, B., 2021, A Novel Unsupervised Forest Change Detection Method Based on The Integration of a Multiresolution Singular Value Decomposition Fusion and an Edge-Aware Markov Random Field Algorithm. International Journal of Remote Sensing, doi:10.1080/01431161.2021.1995075.

  Language:MATLAB11103

• ArminMoghimi/RiverSnap

  RiverSnap - estimation of river hydraulic parameters using machine learning/AI models

  Language:Jupyter Notebook11100

• ArminMoghimi/Tensor-based-keypoint-detection

  Tensor-based Keypoint Detection and Matching for Radiometric and Geometric Multispectral Image Matching.

  Language:MATLAB8102

• ArminMoghimi/The-EAMRF-forest-change-detection-method

  Mohsenifar, A., Mohammadzadeh, A., Moghimi, A. and Salehi, B., 2021, A Novel Unsupervised Forest Change Detection Method Based on The Integration of a Multiresolution Singular Value Decomposition Fusion and an Edge-Aware Markov Random Field Algorithm. International Journal of Remote Sensing, doi:10.1080/01431161.2021.1995075.

  Language:MATLAB6001