期刊论文

Deng, He

英文

Optik

0030-4026

2015

126

23

3942-3948

10.1016/j.ijleo.2015.07.184

Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU14A05023]; Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61472155, 61471355]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2014M560636, 2015T80856]; Wuhan Science and Technology Plan Project [2014060101010030, 2014010101010025]

本校为第一且通讯机构

In this paper, the capabilities of functional data feature extraction technique are combined with the advantages of kernel extreme learning machine (KELM), to develop an effective hyperspectral image (HSI) classification method. In the proposed method, the hyperspectral pixels are firstly represented by functions. Each pixel in the HSI is processed from the perspective of function rather than high-dimensional vector. These functional representations are transformed to a lower dimensionality feature space using functional principal components analysis (FPCA). And then the obtained lower dimensi...