-
Notifications
You must be signed in to change notification settings - Fork 16
/
ReadMe.txt
53 lines (34 loc) · 2.35 KB
/
ReadMe.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
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: zwhoo@szu.edu.cn
Enjoy it!
2022-05-02
SuperSIAT 2.2 updated, some bugs were fixed. 2022-05-02