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DF4LCZ

This repository hosts the code for the DF4LCZ model which is a sam-empowered data fusion framework for scene-level local climate zone classification. The relevant paper is DF4LCZ: A SAM-Empowered Data Fusion Framework for Scene-Level Local Climate Zone Classification

Usage

Install

Train and test

python ./single_fix_augment.py --model 'resnet11_3D' --batch_size 64 --initial_lr 0.002 --decay_factor 0.4 --patience 40 --epoch 100
python ./GNN_train.py

SAM and Graph construction

LCZC-GES2 DATASET

Latest Updates

Citation

If you use this code in your research, please consider citing the following paper:

@ARTICLE{10556641,
  author={Wu, Qianqian and Ma, Xianping and Sui, Jialu and Pun, Man-On},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={DF4LCZ: A SAM-Empowered Data Fusion Framework for Scene-Level Local Climate Zone Classification}, 
  year={2024},
  volume={62},
  number={},
  pages={1-16},
  keywords={Feature extraction;Internet;Earth;Task analysis;Image segmentation;Spatial resolution;Meteorology;Data fusion;local climate zone (LCZ) classification;segment anything model (SAM)},
  doi={10.1109/TGRS.2024.3414143}}

Contact

For any inquiries or further information, please contact me.

Other Works

There are some other works in our group:

SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints(TGRS under review)Code