To improve the sea scene perception of IR image system,a sea scene classification method based on AdaBoost algorithm with texture characteristics is proposed.Firstly,texture characteristics of the images are extracted.Then AdaBoost algorithm is introduced to select the best characteristic,and the stronger classifier is designed.Finally,sea scene classification is realized through binary tree structure.The experimental results show that the method has good adaptive capacity and can obtain classification results under various complicated sea scenes.The classification results will provide important experimental basis for selection of target detection algorithms.
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戴军,金代中,高志峰.基于纹理特征驱动AdaBoost算法的海面场景分类[J].激光与红外,2015,45(4):462~466 DAI Jun, JIN Dai-zhong, GAO Zhi-feng. Sea scene classification based on AdaBoost algorithm with texture characteristics[J]. LASER & INFRARED,2015,45(4):462~466