# Code For Language-Guided Visual Prompt Compensation for Multi-Modal Remote Sensing Image Classiffcation with Missing Modalities

## Data Preparation
The datasets are all public datasets.
Houston2013（HSI+LiDAR）、Trento（HSI+LiDAR）、Augsburg（HSI+SAR）、Augsburg_Three（HSI+LiDAR+SAR）

For the dataset Trento, the training operation process is：
python stage1_trento.py
      If HSI is missing：
	stage2_lidar_trento
      If LiDAR is missing：
	stage2_hsi_trento

For other datasets, the process is similar！