Feature relevance assessment for single tree species classification using ALS point clouds and aerial imagery

Nina Amiri, Przemyslaw Polewski, Marco Heurich, Peter Krystek, Andrew K. Skidmore

Research output: Contribution to conference › Paper › peer-review

Original language	English
Number of pages	3
Publication status	Published - 20 Oct 2016
Externally published	Yes
Event	Young Professionals conference on remote sensing 2016 - German Aerospace Center, Oberpfaffenhofen, Germany Duration: 20 Oct 2016 → 21 Oct 2016

Conference	Young Professionals conference on remote sensing 2016
Country/Territory	Germany
City	Oberpfaffenhofen
Period	20/10/16 → 21/10/16

Cite this

@conference{81a6701e009e479d9e42604128eeec92,

title = "Feature relevance assessment for single tree species classification using ALS point clouds and aerial imagery",

author = "Nina Amiri and Przemyslaw Polewski and Marco Heurich and Peter Krystek and Skidmore, {Andrew K.}",

year = "2016",

month = oct,

day = "20",

language = "English",

note = "Young Professionals conference on remote sensing 2016 ; Conference date: 20-10-2016 Through 21-10-2016",

}

TY - CONF

T1 - Feature relevance assessment for single tree species classification using ALS point clouds and aerial imagery

AU - Amiri, Nina

AU - Polewski, Przemyslaw

AU - Heurich, Marco

AU - Krystek, Peter

AU - Skidmore, Andrew K.

PY - 2016/10/20

Y1 - 2016/10/20

M3 - Paper

T2 - Young Professionals conference on remote sensing 2016

Y2 - 20 October 2016 through 21 October 2016

ER -