Automatic Annotation of Hyperspectral Images and Spectral Signal Classification of People and Vehicles in Areas of Dense Vegetation with Deep Learning

Adam Papp; Julian Pegoraro; Daniel Bauer; Philip Taupe; Christoph Wiesmeyr; Andreas Kriechbaum-Zabini

doi:10.3390/rs12132111

Automatic Annotation of Hyperspectral Images and Spectral Signal Classification of People and Vehicles in Areas of Dense Vegetation with Deep Learning

Adam Papp, Julian Pegoraro, Daniel Bauer, Philip Taupe, Christoph Wiesmeyr, Andreas Kriechbaum-Zabini

Sensing & Vision Solutions

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	2111
Number of pages	1
Journal	Remote Sensing
Volume	12
Issue number	13
DOIs	https://doi.org/10.3390/rs12132111
Publication status	Published - 2020

Research Field

Former Research Field - Surveillance and Protection

Access to Document

10.3390/rs12132111Licence: Unspecified

Cite this

@article{b8daf5c859154467a3f92475fb73d796,

title = "Automatic Annotation of Hyperspectral Images and Spectral Signal Classification of People and Vehicles in Areas of Dense Vegetation with Deep Learning",

author = "Adam Papp and Julian Pegoraro and Daniel Bauer and Philip Taupe and Christoph Wiesmeyr and Andreas Kriechbaum-Zabini",

year = "2020",

doi = "10.3390/rs12132111",

language = "English",

volume = "12",

pages = "2111",

journal = "Remote Sensing",

issn = "2072-4292",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "13",

}

TY - JOUR

T1 - Automatic Annotation of Hyperspectral Images and Spectral Signal Classification of People and Vehicles in Areas of Dense Vegetation with Deep Learning

AU - Papp, Adam

AU - Pegoraro, Julian

AU - Bauer, Daniel

AU - Taupe, Philip

AU - Wiesmeyr, Christoph

AU - Kriechbaum-Zabini, Andreas

PY - 2020

Y1 - 2020

U2 - 10.3390/rs12132111

DO - 10.3390/rs12132111

M3 - Article

SN - 2072-4292

VL - 12

SP - 2111

JO - Remote Sensing

JF - Remote Sensing

IS - 13

ER -