ArminMoghimi
PhD. in Photogrammetry and Remote Sensing
Leibniz University HannoverGermany, Hannover, Iran, Tehran
Pinned Repositories
awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
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.
Awesome-Segment-Anything
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
ChangeDetectionToolbox
MATLAB Toolbox for Remote Sensing Change Detection
Fine-tune-the-Segment-Anything-Model-SAM-
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 Remote Sensing Imagery,"
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
LIRRN
LIRRN: Location-Independent Relative Radiometric Normalization of Bitemporal Remote-Sensing Images
RiverSnap
RiverSnap - estimation of river hydraulic parameters using machine learning/AI models
Tensor-based-keypoint-detection
Tensor-based Keypoint Detection and Matching for Radiometric and Geometric Multispectral Image Matching.
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.
ArminMoghimi's Repositories
ArminMoghimi/Fine-tune-the-Segment-Anything-Model-SAM-
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 Remote Sensing Imagery,"
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.
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
ArminMoghimi/RiverSnap
RiverSnap - estimation of river hydraulic parameters using machine learning/AI models
ArminMoghimi/Tensor-based-keypoint-detection
Tensor-based Keypoint Detection and Matching for Radiometric and Geometric Multispectral Image Matching.
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.
ArminMoghimi/awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
ArminMoghimi/ChangeDetectionToolbox
MATLAB Toolbox for Remote Sensing Change Detection
ArminMoghimi/LIRRN
LIRRN: Location-Independent Relative Radiometric Normalization of Bitemporal Remote-Sensing Images
ArminMoghimi/Awesome-Segment-Anything
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
ArminMoghimi/easy_image_inpainting
Generative AI based image editing/inpainting made super easy to work with.
ArminMoghimi/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
ArminMoghimi/yolov5-gradcam
Visualizing Yolov5's layers using GradCam