A Supervised Classification Method for Levee Slide Detection Using Complex Synthetic Aperture Radar Imagery
The dynamics of surface and sub-surface water events can lead to slope instability, resulting in anomalies such as slough slides on earthen levees. Early detection of these anomalies by a remote sensing approach could save time versus direct assessment. We have implemented a supervised Mahalanobis d...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2016-09-01
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| Edice: | Journal of Imaging |
| Témata: | |
| On-line přístup: | http://www.mdpi.com/2313-433X/2/3/26 |
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