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building-semantic-segmentation

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Jiankun-chen / building-semantic-segmentation-of-InSAR-images

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We apply some state-of-the-art semantic segmentation methods to InSAR image building segmentation, directly. They are Unet, SegNet, RefineNet, PSPNet, and Deeplab v3+. These segmentation patterns are regarded as the comparative results with CVCMFFNet, which links to https://github.com/Jiankun-chen/CVCMFFNet-master

convolutional-neural-network building-semantic-segmentation master-sar-image slave-sar-image interferometric-phase-image
  • Updated Feb 21, 2021
  • Python

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