This is demo and freeware provided by Dr. Zhongwen Hu, Shenzhen University.

The toolkit is developed using miscrosoft visual C++ 2017. The realsed version is built with Windows10 X64 settings.
You may need to install the Visual C++ 2017 redistributable (x64) pakage. It can be downloaded from:

https://download.microsoft.com/download/B/7/A/B7A6D5AB-2606-4942-BE19-996D105376A4/vc_redist.x64.exe

It can be used for scale-sets based analysis of remote sensing images.

It can produced scale-sets hierarchy with very large images (ie. 20000*20000 pixels), however, 
restricted by some cooperate agreements, the acdemic software outputs segmentation and 
classification results no larger than 5000*5000 pixles.

An simple illustration is provided in the user guide book.

If you use this software in your research, please cite some of the following references:

1.  Zhongwen Hu, Tiezhu Shi, Chisheng Wang, Guofeng Wu, and Qingquan Li,
    Scale-sets image classification with hierarchical sample enriching and automatic scale selection 
    International Journal of Applied Earth Observation and Geoinformation,
    2021, 105:102605


2.  Zhongwen Hu*, Qian Zhang*, Qin Zou, Qingquan Li, Guofeng Wu. 
    Stepwise Evolution Analysis of Region Merging Segmentation for Scale Parameterisation. 
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
    2018, 99(doi:10.1109/JSTARS.2018.2833102). 

3. Zhongwen Hu, Qingquan Li*, Qin Zou, Qian Zhang, Zhaocong Wu*. 
    Unsupervised Simplification of Image Hierarchies via Evolution Analysis in Scale-Sets Framework. 
    IEEE Transactions on Image Processing.
    2017, 26(5), 2394 - 2407. 

4.  Zhongwen Hu, Qingquan Li*, Qin Zou, Qian Zhang, Guofeng Wu. 
    A Bi-level Scale-sets Model for Hierarchical Representation of Large Remote Sensing Images. 
    IEEE Transactions on Geoscience and Remote Sensing. 
    2016, 54(12), 7366-7377. 

5.  Zhongwen Hu*, Zhaocong Wu, Qian Zhang, Qian Fan, Jiahui Xu.
    A Spatially-Constrained Color-Texture Model for Hierarchial VHR Image Segmentation.
    IEEE Geoscience and Remote Sensing Letters. 
    2013, 10(1), 120-124. 
    

    If you have any questions, please feel free to contact Dr. Zhongwen Hu, email: [email protected]

    Enjoy it!

    2022-05-02
    
    
    SuperSIAT 2.2 updated, some bugs were fixed. 2022-05-02