期刊论文

Wei, Yantao

英文

IEEE Transactions on Cybernetics

2168-2267

2016

46

7

1667-1678

10.1109/TCYB.2015.2453359

Macau Science and Technology Development Fund (Grant Number: FDCT/106/2013/A3) Research Committee at the University of Macau (Grant Number: MYRG2014-00003-FST, MRG017/ZYC/2014/FST, MYRG113(Y1-L3)-FST12-ZYC and MRG001/ZYC/2013/FST) Fundamental Research Funds for the Central Universities (Grant Number: CCNU14A05023) Wuhan Science and Technology Plan Project (Grant Number: 2014060101010030 and 2014010101010025)

本校为通讯机构

This paper proposes a spectral-spatial feature learning (SSFL) method to obtain robust features of hyperspectral images (HSIs). It combines the spectral feature learning and spatial feature learning in a hierarchical fashion. Stacking a set of SSFL units, a deep hierarchical model called the spectral-spatial networks (SSN) is further proposed for HSI classification. SSN can exploit both discriminative spectral and spatial information simultaneously. Specifically, SSN learns useful high-level features by alternating between spectral and spatial ...