Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing

Terrain traversability is critical for developing Go/No-Go maps for ground vehicles, which significantly impact a mission’s success. To predict the mobility of terrain, one must understand the soil characteristics. In-situ measurements performed in the field are the current method of collecting this...

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Detalles Bibliográficos
Autores principales: Ewing, Jordan, Oommen, Thomas, Thomas, Jobin, Kasaragod, Anush, Dobson, Richard, Brooks, Colin, Jayakumar, Paramsothy, Cole, Michael, Ersal, Tulga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301555/
https://www.ncbi.nlm.nih.gov/pubmed/37420672
http://dx.doi.org/10.3390/s23125505

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301555/
https://www.ncbi.nlm.nih.gov/pubmed/37420672
http://dx.doi.org/10.3390/s23125505

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