Articles citing this paper
Feasibility of using template-based and object-based automated detection methods for quantifying black and hybrid imported fire ant (Solenopsis invicta and S. invicta × richteri) mounds in aerial digital imagery
James T. Vogt A D and Bradley Wallet B C
+ Author Affiliations
- Author Affiliations
A USDA, ARS Biological Control of Pests Research Unit, PO Box 67, Stoneville, Mississippi 38776, USA.
B Automated Decisions, LLC, 821 W. Lindsey St., Norman, Oklahoma 73069, USA.
C ConocoPhillips School of Geology and Geophysics, College of Earth and Energy, The University of Oklahoma, 100 E. Boyd St., Norman, Oklahoma 73109, USA.
D Corresponding author. Email: jt.vogt@ars.usda.gov
The Rangeland Journal 30(3) 291-295 https://doi.org/10.1071/RJ08007
Submitted: 25 January 2008 Accepted: 19 March 2008 Published: 21 August 2008
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