A Novel Feature Space for Classifying Textures and Objects in Low-Resolution Infrared Images

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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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Bibliographic Details
Main Author:	Khan, Masood Mehmood
Format:	Conference Paper
Published:	IEEE 2018
Online Access:	http://hdl.handle.net/20.500.11937/74810

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