The Optimal Solution of Feature Decomposition Based on the Mathematical Model of Nonlinear Landscape Garden Features
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15. Dez. 2021
Über diesen Artikel
Online veröffentlicht: 15. Dez. 2021
Seitenbereich: 751 - 760
Eingereicht: 16. Juni 2021
Akzeptiert: 24. Sept. 2021
DOI: https://doi.org/10.2478/amns.2021.1.00070
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© 2021 Hu et al., published by Sciendo.
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Daubechies wavelet transform coefficients
| Position | Value |
|---|---|
| h0 | 0.483 |
| h1 | 0.837 |
| h2 | 0.224 |
| h3 | -0.129 |
Theoretical semivariance parameters of the experimental semivariance fitting for each landscape type
| Landscape type | city View | Farmland landscape | Urban landscape sub-area |
|---|---|---|---|
| Nugget variance | 461 | 77 | 264 |
| Variation | 135 | 152 | 15 |
| Structure variance | 367 | 78 | 230 |
| Abutment value | 828 | 155 | 494 |
| The ratio of nugget variance to base station value n/s (%) | 55 | 49 | 53 |