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- Title
A Study on Recognition of Subsidence Basin Water using Hyper-Spectrum Full Fractal Characteristic.
- Authors
Xing LIU
- Abstract
This paper takes EO-1 satellite HYPERION hyper-spectrum images and appropriate data processing to extract hyper-spectrum curves from natural water and coal mining subsidence water, and then the algorithm of circle spectrum fractal value is employed to distinguish two types of water after equal interval re-sampling. The results show that this method can effectively identify two types of water. The fractal values of Natural water are bigger than that of subsidence basin water. Through the system clustering, the classification accuracy by single index of fractal value is higher than by original spectral curve. It's an effective means for subsidence dynamic monitoring. The reasons why the difference exists are discussed.
- Subjects
HYPERION (Satellite); HYPERSPECTRAL imaging systems; ELECTRONIC data processing
- Publication
International Journal of Simulation -- Systems, Science & Technology, 2016, Vol 17, Issue 49, p1
- ISSN
1473-8031
- Publication type
Article
- DOI
10.5013/IJSSST.a.17.49.30