Hidden feature extraction for unstructured agricultural environment based on supervised kernel locally linear embedding modeling  

作　　者：Zhong-Hua Miao Chen-Hui Ma Zhi-Yuan Gao Ming-Jun Wang Cheng-Liang Liu 

机构地区：[1]School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, People's Republic of China [2]School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China

出　　处：《Advances in Manufacturing》2018年第4期409-418,共10页先进制造进展（英文版）

基　　金：National Natural Science Foundation of China (Grant No. 51375293);Basic Research of the Science and Technology Commission of Shanghai Municipality (Grant No. 12JC1404100).

摘　　要：An online hidden feature extraction algorithm is proposed for unknown and unstructured agricultural environments based on a supervised kernel locally linear embedding (SKLLE) algorithm. Firstly, an online obtaining method for scene training samples is given to obtain original feature data. Secondly, Bayesian estimation of the a posteriori probability of a cluster center is performed. Thirdly, nonlinear kernel mapping function construction is employed to map the original feature data to hyper-high dimensional kernel space. Fourthly, the automatic deter mination of hidden feature dimensions is performed using a local manifold learning algorithm. Then, a low-level manifold computation in hidden space is completed. Finally, long-range scene perception is realized using a 1-NN classifier. Experiments are conducted to show the effectiveness and the influence of parameter selection for the proposed algorithm. The kernel principal component analysis (KPCA), locally linear embedding (LLE), and supervised locally linear embedding (SLLE) methods are compared under the same experimental unstructured agricultural environment scene. Test results show that the proposed algorithm is more suitable for unstructured agricultural environments than other existing methods, and that the computational load is significantly reduced.

关 键 词：LONG-RANGE SCENE PERCEPTION Hidden feature extraction AGRICULTURAL vehicle UNSTRUCTURED AGRICULTURAL environment 

分 类 号：N[自然科学总论]