Deconvolution of Plant Type(s) for Homeland Security Enforcement Using Remote Sensing on a UAV Collection Platform [open pdf - 489KB]
"The technological ability to distinguish drug plants from other plant types has important implications for law enforcement (LE), wildfire recovery, reservoir protection, environmental impact, agricultural issues, and military concerns. This ability, termed 'deconvolution,' can be a valuable technological tool to fight drug trafficking and thus the war on terror. The use of computers and associated hardware, as well as data-base and high-speed computing capabilities, are an integral part of the technological process that will facilitate and make possible plant species identification from airborne sensors. This paper will focus on utilizing Synthetic Aperture Radar (SAR) and/or hyperspectral imagery coupled to a neural network to successfully achieve deconvolution. The proposed approach can be accomplished from (individually or combined) an airborne platform (airplane or satellite) and using a hyperspectral sensor or SAR. To ensure practical use and direct technology transfer for homeland security purposes, for example, the DEA (Drug Enforcement Agency), the technology and methodology is directly applied to a UAV (unmanned aerial vehicle) collection platform."
2006 by the authors
Homeland Security Affairs Journal: http://www.hsaj.org/hsa/
Homeland Security Affairs (2006), v.2 no.1, article 4