keras遥感图像Unet语义分割(支持多波段&多类)
☆158Oct 22, 2020Updated 5 years ago
Alternatives and similar repositories for Unet_RSimage_Multi-band_Multi-class
Users that are interested in Unet_RSimage_Multi-band_Multi-class are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+☆314Apr 29, 2020Updated 5 years ago
- 遥感图像的语义分割，分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型，keras+python☆219May 30, 2020Updated 5 years ago
- 2021全国数字生态创新大赛-智能算法☆77Mar 3, 2021Updated 5 years ago
- PyTorch实现高分遥感语义分割（地物分类）☆536Nov 11, 2020Updated 5 years ago
- 遥感图像分割 pytorch deeplabv3☆21May 19, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- DeepGlobe Land Cover Classification Challenge遥感影像语义分割☆229May 20, 2020Updated 5 years ago
- 采用Pytorch的入门语义分割项目，支持的网络有Unet和Segnet；遥感语义分割；Unet；Segnet；Remote sensing semantic segmentation；☆425Nov 18, 2021Updated 4 years ago
- ☆624Apr 3, 2018Updated 7 years ago
- 2019本科毕业设计：基于UNet的遥感图像语义分割☆71Jan 22, 2022Updated 4 years ago
- The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.☆142Apr 21, 2020Updated 5 years ago
- Remote-sensing-CNN-land-classify 遥感landsat 影像地物分类，基于CNN深度学习的方法☆57Jul 1, 2025Updated 8 months ago
- Remotes Sensing Semantic Segmentation☆473Nov 24, 2025Updated 4 months ago
- ☆14Sep 23, 2025Updated 6 months ago
- For the semantic segmentation of remote sensing image, tensorflow implementation☆76Apr 7, 2020Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilene…☆63Nov 29, 2020Updated 5 years ago
- The semantic segmentation of remote sensing images☆182May 22, 2018Updated 7 years ago
- 使用ICNet模型对航拍图片(遥感图像)进行图像分割☆106Nov 15, 2021Updated 4 years ago
- 基于机器学习的遥感图像识别算法 (kNN/SVM/CNN/LSTM)☆95Oct 12, 2024Updated last year
- 遥感影像深度学习语义分割☆53Aug 20, 2019Updated 6 years ago
- Remote sensing image classification based on deep learning☆127Nov 4, 2024Updated last year
- AD-HRNet:用于遥感图像语义分割的结合注意力机制和膨胀卷积的HRNet☆12Aug 13, 2023Updated 2 years ago
- rscup: 遥感图像场景分类☆103Jul 9, 2019Updated 6 years ago
- 基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。☆184Jun 27, 2020Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 对高分辨率光学遥感图像中各类地物光谱信息和空间信息进行分析，将图像中具有语义信息的各个像元分别赋予语义类别标签；以包含典型土地利用分类的光学遥感图像为处理对象，使用提供的遥感图像数据集进行土地利用类型语义分割处理。☆39Sep 17, 2020Updated 5 years ago
- 高光谱图像分类☆31May 5, 2019Updated 6 years ago
- Python+GDAL对遥感图像重采样☆14Jan 17, 2019Updated 7 years ago
- ☆47Sep 11, 2019Updated 6 years ago
- 使用CNN进行高光谱遥感影像分类，影像源为Pavia University☆115Oct 22, 2019Updated 6 years ago
- 高光谱遥感影像分类☆12Mar 22, 2023Updated 3 years ago
- Deeplab v3_Plus for semantic segmentation of remote sensing(pytorch)☆46Dec 11, 2019Updated 6 years ago
- Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类☆264May 6, 2024Updated last year
- 老夫的毕业设计，及其学习之遥感影像分类☆10Apr 8, 2020Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- 全国人工智能大赛 华为·昇腾杯 AI+遥感影像 第14名解决方案☆65Mar 3, 2021Updated 5 years ago
- 遥感影像语义分割☆52Mar 13, 2024Updated 2 years ago
- ☆17May 29, 2023Updated 2 years ago
- Pytorch based implemenatation of Fully Convolutional Networks☆19Aug 11, 2018Updated 7 years ago
- geospatial-study☆29May 23, 2024Updated last year
- semantic segmentation pytorch 语义分割☆123May 10, 2021Updated 4 years ago
- 2021MathorCup高校数学建模挑战赛大数据竞赛B题-遥感地块分割-国家一等奖☆12May 1, 2021Updated 4 years ago