https://github.com/sbasma/single_adaptive_mf
Adaptive matched filters algorithm
https://github.com/sbasma/single_adaptive_mf
adaptive-learning bhattacharyya-distance feature-enhancement feature-extraction image-classification image-processing matched-filter pso svm
Last synced: about 1 year ago
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Adaptive matched filters algorithm
- Host: GitHub
- URL: https://github.com/sbasma/single_adaptive_mf
- Owner: sbAsma
- Created: 2023-05-03T14:04:58.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-05-05T12:43:24.000Z (about 3 years ago)
- Last Synced: 2025-02-10T00:37:35.203Z (over 1 year ago)
- Topics: adaptive-learning, bhattacharyya-distance, feature-enhancement, feature-extraction, image-classification, image-processing, matched-filter, pso, svm
- Language: Jupyter Notebook
- Homepage:
- Size: 8.65 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Adaptive Matched Filters for VHR Image Classification
This is an improved version of the code used to generate the results of [1]. Please refer to [1] for more details. Note that the dataset isn't the same as in the published
paper. If you are to use the dataset, please cite [2].
[1]
B. A. Semcheddine and A. Daamouche, "Adaptive Matched Filters for VHR Image Classification," 2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS),
Istanbul, Turkey, 2022, pp. 50-53, doi: 10.1109/M2GARSS52314.2022.9839931.\
[2]
R. C. Daudt, B. Le Saux, A. Boulch, and Y. Gousseau, “Multitask learning for large-scale semantic change detection,” Computer Vision and Image Understanding,
vol. 187, p. 102783, 2019. doi: 10.1016/j.cviu.2019.07.003.
## Dependencies
- python == 3.7
- multiprocess == 0.70.11.1
- numpy == 1.21.6
- pandas == 1.3.5
- sklearn == 1.0.2
- scipy == 1.7.3
- cv2 == 3.4.2
- matplotlib == 3.1.3
- PIL == 7.0.0
- skimage == 0.19.2