https://github.com/dibyarupnath/app-road-detection-from-panchromatic-images
Comparing the performance of pixel-wise binary classification for road detection, from panchromatic satellite images using a custom model called RoadSegNN (with ResNet and Swin-T backbones) and SegNet.
https://github.com/dibyarupnath/app-road-detection-from-panchromatic-images
cnn deep-learning image-processing panchromatic resnet-101 resnet-50 satellite-imagery segnet swin-transformer
Last synced: 6 months ago
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Comparing the performance of pixel-wise binary classification for road detection, from panchromatic satellite images using a custom model called RoadSegNN (with ResNet and Swin-T backbones) and SegNet.
- Host: GitHub
- URL: https://github.com/dibyarupnath/app-road-detection-from-panchromatic-images
- Owner: dibyarupnath
- Created: 2024-06-02T23:49:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-23T00:04:31.000Z (over 1 year ago)
- Last Synced: 2024-06-23T20:35:10.045Z (over 1 year ago)
- Topics: cnn, deep-learning, image-processing, panchromatic, resnet-101, resnet-50, satellite-imagery, segnet, swin-transformer
- Language: Python
- Homepage:
- Size: 15.5 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md