The AdaBoost classification of land-mine target with adaptive feature selection
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, Volume 33, Issue 8, 2011, Pages 1798-1802.
WOS SCOPUS
Abstract:
In order to solve the land-mine classification problem on a Forward-Looking Ground Penetrating Virtual Aperture Radar (FLGPVAR), a new classification algorithm composed of weak classification iteration and adaptive feature selection is proposed. It is based on traditional AdaBoost algorithm, the feature selection is part of weak classific...More
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