A Novel Feature Space for Classifying Textures and Objects in Low-Resolution Infrared Images
This paper reports formation of a novel feature set for classifying textures in low-resolution thermal infrared (TIR) images like the ones acquired during aerial and ground operations of robotic vehicles. The proposed 3-component feature set includes energy coefficients obtained via 3-level overcomp...
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| Format: | Conference Paper |
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IEEE
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/74810 |