awesome-multimodal-remote-sensing-classification
github.com/likyoo/awesome-multimodal-remote-sensing-classification ↗List of datasets, papers, and codes related to multimodal/multisource/multisensor remote sensing classification
87
GitHub Stars
27
Curated Resources
3
Categories
2 hours ago
Last Refreshed
1. Dataset2. Paper3. Related Repositories
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 2. paper resources from awesome-multimodal-remote-sensing-classification"
Installation instructions →What's inside
2. Paper
- A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks
- Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
- Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data
- Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data
- Deep Fusion of Remote Sensing Data for Accurate Classification
- Deep Residual Network-based Fusion Framework for Hyperspectral and LiDAR Data
1. Dataset
3. Related Repositories
Showing a sample of 27 resources. View the full list on GitHub →