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TreeD version 0.8

an image processing application for single tree detection

Olofsson, Kenneth (2003). TreeD version 0.8. Umeå: (S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
, Sveriges lantbruksuniversitet. Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik ; 106
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Abstract

The TreeD © software,
version 0.8,
is an application that loads an aerial or satellite image and
detects trees by template matching. The software is developed at the Remote Sensing Laboratory,
Swedish University of Agricultural Sciences ( SLU)
in Umea, Sweden. This is beta software and
the methods and algorithms are continuously being improved upon. Please report any errors you
find in the software to the Remote Sensing Laboratory.
The algorithms for tree detection used in the application are based on a PhD thesis by Richard
J
ames Pollock (1996),
University of British Columbia, Canada. The application is build upon two
software libraries, Intel® Image Processing Library, IPL ©and wxWindows ©. The I PL is
used for image processing and wx
Windows is used as a graphical user interface.
The report contains three major sections,
a manual,
a method description and a software
description. The manual is for someone,
without any prior knowledge of template matching,
who
wants to run the software. The method and software descriptions are for someone that wants to
build a similar application as Tree D or as a support for in-house development at the Remote
Sensing Laboratory.

The TreeD 0.8 application is available at the Remote Sensing Laboratory, SLU and is primarily
used as a research tool for single tree detection. The software runs on a Microsoft® Windows
2 000 workstation. The application
binary depends on the Intel® Image Processing Library,
IPL © DLLs and consequently they need to be put into the same folder as the program. All of
these binaries can be found at SLU.
The input to the application is an aerial/satellite image (central or orthogonal projection),
a tree
library,
information about the camera and solar positions ,
and a path to a directory to put the
results in. The current status of the input variables can be viewed and changed before starting the
correlation of the image. The output from the application consists of three text files , status. txt,
treelist.txt
and probable_treelist.txt. I
f there are old files with these names at the result
directory
they
will be overwritten. To save a
new batch you can either rename the oldfiles or use
a new result directory.
··
The application assumes that the terrain is fairly flat and that the camera is positioned
approximately in a nadir view. I
f these conditions are not fulfilled the accuracy of the positioning
and detection of the trees will decrease.

Authors/Creators:Olofsson, Kenneth
Title:TreeD version 0.8
Subtitle:an image processing application for single tree detection
Series/Journal:Arbetsrapport / Sveriges lantbruksuniversitet, Institutionen för skoglig resurshushållning och geomatik (1401-1204)
Year of publishing :2003
Number:106
Number of Pages:54
Place of Publication:Umeå
Publisher:Institutionen för skoglig resurshushållning, Sveriges lantbruksuniversitet
ISSN:1401-1204
Language:English
Publication Type:Report
Full Text Status:Public
Agris subject categories.:U Auxiliary disciplines > U40 Surveying methods
Subjects:(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 202 Electrical Engineering, Electronic Engineering, Information Engineering > Computer Systems
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Agrovoc terms:trees, aerial surveying, remote sensing, image analysis, computer software
Keywords:trees, computer software, aerial surveying
URN:NBN:urn:nbn:se:slu:epsilon-e-536
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-536
ID Code:8865
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: Bo Jonsson
Deposited On:28 May 2012 09:54
Metadata Last Modified:02 Dec 2014 10:50

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