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Leibniz University Hannover
- Germany, Hannover
- https://www.researchgate.net/profile/Armin-Moghimi
- https://orcid.org/0000-0002-0455-4882
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Fine-tune-the-Segment-Anything-Model-SAM-
Fine-tune-the-Segment-Anything-Model-SAM- PublicA. 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 …
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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 …
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Tensor-based-keypoint-detection
Tensor-based-keypoint-detection PublicOptimizing Relative Radiometric Normalization: Minimizing Residual Distortions in Multispectral Bitemporal Images Using Trust-Region Reflective and Laplacian Pyramid Fusion
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Awesome-Remote-Sensing-Relative-Radiometric-Normalization-Datasets
Awesome-Remote-Sensing-Relative-Radiometric-Normalization-Datasets PublicA. 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…
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