SITSMamba for Crop Classification based on
Satellite Image Time Serie

Xiaolei Qin, Xin Su, Liangpei Zhang

🐍Highlight

SITSMamba adopts Mamba for Satellite image time series classification for the first time.

🌾Dataset

PASTIS
All the 20 classes are used for training and evaluation in our study.
MTLCC
All the 17 classes are used for training and evaluation in our study.

🔨Environment

You can install mamba according to the following instruction.

conda create -n mamba python==3.8
pip install torch==2.2.1 torchvision==0.17.1 --index-url https://download.pytorch.org/whl/cu121
wget https://github.com/state-spaces/mamba/releases/download/v1.2.2/mamba_ssm-1.2.2+cu122torch2.2cxx11abiFALSE-cp38-cp38-linux_x86_64.whl
pip install mamba_ssm-1.2.2+cu122torch2.2cxx11abiFALSE-cp38-cp38-linux_x86_64.whl

💙Thanks

The ConvBlock is from UTAE. The temporal encoder, Mamba block, is from mamba.