a machine learning method improved by deep forest

achieved SOTA on SAT-4 & SAT-6

In addition, we released a dataset named ARID-5, which is used for arid area classification on 28*28 pixel image.

https://doi.org/10.1016/j.cageo.2020.104557

if you used our work or code, please google our work and cite:
@article{weng2020land, title={Land use/land cover recognition in arid zone using A multi-dimensional multi-grained residual Forest☆}, author={Weng, Liguo and Qian, Ming and Xia, Min and Xu, Yiqing and Li, Chunzheng}, journal={Computers & Geosciences}, volume={144}, pages={104557}, year={2020}, publisher={Elsevier} }

The dataset:https://pan.baidu.com/s/1RjF3BSOzIDhmq0oAi7-xnA, passwd:dpcu