https://github.com/sbasma/unet_svm_comparison

Performance comparison of pixel-based vs. object based semantic segmentation using original spectral information.
https://github.com/sbasma/unet_svm_comparison

image-classification image-processing svm unet

Last synced: 11 months ago
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Performance comparison of pixel-based vs. object based semantic segmentation using original spectral information.

• Host: GitHub
• URL: https://github.com/sbasma/unet_svm_comparison
• Owner: sbAsma
• Created: 2023-05-03T14:29:33.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-05-05T12:31:30.000Z (about 3 years ago)
• Last Synced: 2025-04-04T14:44:43.546Z (about 1 year ago)
• Topics: image-classification, image-processing, svm, unet
• Language: Jupyter Notebook
• Homepage:
• Size: 3.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# SVM vs. U-Net Semantic Segmentation for an Urban Area in Algeria

This is an improved version of the code used to generate the results of [1]. Please refer to [1] for more details. Please cite [1] if you are to use the dataset.

[1]

S. B. Asma, D. Abdelhamid and L. Youyou, "U-Net Based Classification For Urban Areas In Algeria," 2020 

Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), Tunis, Tunisia, 2020, pp. 101-104, doi: 10.1109/M2GARSS47143.2020.9105283.

## Dependencies

- python == 3.7

- numpy ==  1.21.6

- pandas ==  1.3.5

- sklearn ==  1.0.2

- cv2 ==  3.4.2

- matplotlib ==  3.1.3

- tensorflow ==  2.3.1

- keras ==  2.4.0

- PIL ==  7.0.0

- albumentations==0.4.3