This repository contains the official code implementation for the paper titled "Spectral Transformer with SENet for HSIC".
Please note that the code will be uploaded soon after the paper's publication.
This repository will host the code for the proposed SSTSENet model, which combines various deep-learning components for improved hyperspectral image classification.
[Will be updated soon.]
The code will be organized into logical folders for different components of the model and experiments. Here's a brief overview of the expected structure:
data_preprocessing/: Scripts for preprocessing hyperspectral datasets.model_architecture/: Implementation of the SSTSENet model and its components.experiments/: Scripts for running experiments and evaluating the model.utils/: Utility functions and helper scripts.pretrained_models/: Pretrained models (if applicable).
To be updated once the code is uploaded.
To be updated once the code is uploaded.
If you find this work helpful, please consider citing our paper: