The Analysis on Similarity of Spectrum Analysis of Landslide and Bareland through Hyper-Spectrum Image Bands
Abstract
:1. Introduction
2. Data Collection for Study Plan and Area
2.1. Geomorphology
2.2. Hydrographic System
2.3. Geological Structure
2.4. Research Material
3. Research Method
3.1. Spectrum Similarity Analysis
3.2. Brief on Support Vector Machine
4. Results
4.1. Spectral Similarity Analysis
4.2. SVM
4.2.1. Step1: Normalization
4.2.2. Step2: Cross-Validation
4.2.3. Step3: Model Selection for a Core Function
5. Conclusions
- (a)
- The study proved that the hyperspectral image data can replace the DEM data by considering different land cover categories.
- (b)
- The spectral similarity analysis can classify 100% of the vegetation area. Most of the landslide and bareland area is also being detected with a satisfactory level of the overall accuracy of 85%.
- (c)
- The support vector machine is a superior classifier. However, the problem is that each of the training sample data must be supervised data. That is, each piece of in situ sampling data must be carefully labeled. The overall accuracy is 98.3%.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Categories | Vegetation | Bareland | Landslide | User Accuracy | Commission Error |
---|---|---|---|---|---|
Vegetation | 40 | 0 | 0 | 100% | 0% |
Bareland | 0 | 32 | 8 | 80% | 20% |
Landslide | 0 | 10 | 30 | 75% | 25% |
Producer Accuracy | 100% | 76.19% | 78.95% | Overall accuracy = 85% | |
Omission error | 0% | 23.81% | 21.05% |
Categories | Vegetation | Bareland | Bareland | User Accuracy | Commission |
---|---|---|---|---|---|
Vegetation | 40 | 0 | 0 | 100% | 0% |
Bareland | 0 | 38 | 0 | 100% | 0% |
Landslide | 0 | 2 | 40 | 95.2% | 4.8% |
Producer | 100% | 95% | 100% | Overall accuracy = 98.3% | |
Omission error | 0% | 5% | 0% |
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Wan, S.; Lei, T.C.; Ma, H.L.; Cheng, R.W. The Analysis on Similarity of Spectrum Analysis of Landslide and Bareland through Hyper-Spectrum Image Bands. Water 2019, 11, 2414. https://doi.org/10.3390/w11112414
Wan S, Lei TC, Ma HL, Cheng RW. The Analysis on Similarity of Spectrum Analysis of Landslide and Bareland through Hyper-Spectrum Image Bands. Water. 2019; 11(11):2414. https://doi.org/10.3390/w11112414
Chicago/Turabian StyleWan, Shiuan, Tsu Chiang Lei, Hong Lin Ma, and Ru Wen Cheng. 2019. "The Analysis on Similarity of Spectrum Analysis of Landslide and Bareland through Hyper-Spectrum Image Bands" Water 11, no. 11: 2414. https://doi.org/10.3390/w11112414