Advanced Unsupervised Classification Methods to Detect Anomalies on Earthen Levees Using Polarimetric SAR Imagery

Fully polarimetric Synthetic Aperture Radar (polSAR) data analysis has wide applications for terrain and ground cover classification. The dynamics of surface and subsurface water events can lead to slope instability resulting in slough slides on earthen levees. Early detection of these anomalies by...

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Detalles Bibliográficos
Autores principales: Marapareddy, Ramakalavathi, Aanstoos, James V., Younan, Nicolas H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Concept Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934324/
https://www.ncbi.nlm.nih.gov/pubmed/27322270
http://dx.doi.org/10.3390/s16060898

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934324/
https://www.ncbi.nlm.nih.gov/pubmed/27322270
http://dx.doi.org/10.3390/s16060898

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