标题: Single-Source Frequency Transform for Cross-Scene Classification of Hyperspectral Image

作者: Huang, XZ (Huang, Xizeng); Dong, YN (Dong, Yanni); Zhang, YX (Zhang, Yuxiang); Du, B (Du, Bo)

来源出版物: IEEE TRANSACTIONS ON IMAGE PROCESSING  卷: 34  页: 3000-3012  DOI: 10.1109/TIP.2025.3568749  Published Date: 2025  

摘要: Currently, the research on cross-scene classification of hyperspectral image (HSI) based on domain generalization (DG) has received wider attention. The majority of the existing methods achieve cross-scene classification of HSI via data manipulation that generates more feature-rich samples. The insufficient mining of complex features of HSIs in these methods leads to limiting the effectiveness of the newly generated HSI samples. Therefore, in this paper, we propose a novel single-source frequency transform (SFT), which realizes domain generalization by transforming the frequency features of samples, mainly including frequency transform (FT) and balanced attentional consistency (BAC). Firstly, FT is designed to learn dynamic attention maps in the frequency space of samples filtering frequency components to improve the diversity of features in new samples. Moreover, BAC is designed based on the class activation map to improve the reliability of newly generated samples. Comprehensive experiments on three public HSI datasets demonstrate that the proposed method outperforms the state-of-the-art method, with accuracy at most 5.14% higher than the second place.

作者关键词: Frequency-domain analysis; Training; Data models; Frequency diversity; Transforms; Reliability; Hyperspectral imaging; Feature extraction; Accuracy; Metalearning; Cross-scene classification; hyperspectral image; domain generalization; data manipulation

KeyWords Plus: REMOTE-SENSING APPLICATIONS; DOMAIN ADAPTATION; FUSION

地址: [Huang, Xizeng; Dong, Yanni] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Huang, Xizeng; Zhang, Yuxiang] China Univ Geosci, Sch Geophys & Geomat, Wuhan 430074, Peoples R China.

[Du, Bo] Wuhan Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.

通讯作者地址: Dong, YN (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: huangxz@whu.edu.cn; dongyanni@whu.edu.cn; zhangyx@cug.edu.cn; dubo@whu.edu.cn

影响因子：13.7