Title :
Appication of landmine feature extraction using aspect invariant characteristics
Author :
Xiao-jiang, Qu ; Yu-ming, Wang ; Yun-fei, Shi ; Qian, Song
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
To decrease false alarm, a detection algorithm based on aspect invariant characteristics of sub-aperture images was proposed. Some aspect invariant characteristics features could be extracted based on a double-hump model and sent to classifier and the result was satisfied.
Keywords :
feature extraction; landmine detection; military computing; aspect invariant characteristics; double-hump model; landmine feature extraction; sub-aperture images; Aperture antennas; Clutter; Feature extraction; Ground penetrating radar; Landmine detection; Mathematical model; Aspect invariant characteristics; Feature extraction; Landmine detection; Virtual aperture;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066386
