GitHub topics: building-segmentation
jiankang1991/TGRS_DisOptNet
Codes for TGRS paper: DisOptNet: Distilling Semantic Knowledge from Optical Images for Weather-independent Building Segmentation
Language: Python - Size: 201 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 11 - Forks: 0
Asv53/Buildings-detection-GeneralizedRCNN
A deep learning approach for buildings segmentation using detectron2 model developed by facebook research group (META)
Language: Jupyter Notebook - Size: 8.89 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Jiankun-chen/CVCMFFNet-master
We present a novel complex-valued convolutional and multi-feature fusion network (CVCMFF Net) specifically for building semantic segmentation of InSAR images. It can effectively segment the layover, shadow, and background on both the simulated InSAR building images and the real airborne InSAR images. The segmentation performance of CVCMFF Net is significantly improved compared with other state-of-the-art networks. The comparative experiments are link to https://github.com/Jiankun-chen/building-semantic-segmentation-of-InSAR-images
Language: Python - Size: 134 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 18 - Forks: 1
widifadi/SEERI-Building_Segmentation
Python notebook for building semantic segmentation from high resolution satellite imagery. A part of project SEERI, a collaboration between Braga Tech. and GIZ in developing website for estimating solar potential on building rooftop.
Language: Jupyter Notebook - Size: 37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
lostmartian/Building-and-Road-Segmentation-from-Aerial-Images
Aerial Image segmentation using different EfficientNet based backbone encoders with UNet on Massachusetts Building and Road dataset
Language: Jupyter Notebook - Size: 44.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
