X
Xing Zhao
Researcher at Harbin Institute of Technology
Publications - 8
Citations - 3335
Xing Zhao is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Hyperspectral imaging & Support vector machine. The author has an hindex of 7, co-authored 8 publications receiving 2353 citations.
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Journal ArticleDOI
Deep Learning-Based Classification of Hyperspectral Data
TL;DR: The concept of deep learning is introduced into hyperspectral data classification for the first time, and a new way of classifying with spatial-dominated information is proposed, which is a hybrid of principle component analysis (PCA), deep learning architecture, and logistic regression.
Journal ArticleDOI
Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network
Yushi Chen,Xing Zhao,Xiuping Jia +2 more
TL;DR: A new feature extraction (FE) and image classification framework are proposed for hyperspectral data analysis based on deep belief network (DBN) and a novel deep architecture is proposed, which combines the spectral-spatial FE and classification together to get high classification accuracy.
Proceedings ArticleDOI
Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders
TL;DR: In this article, the authors proposed a new framework of spectral-spatial feature extraction for hyperspectral image classification, in which for the first time the concept of deep learning is introduced.
Proceedings ArticleDOI
Spectral-spatial classification of hyperspectral image using autoencoders
TL;DR: A new framework of spectral-spatial feature extraction for HSI classification, in which for the first time the concept of deep learning is introduced, and achieves the highest classification accuracy among all methods, and outperforms classical classifiers such as SVM and PCA-based SVM.
Journal ArticleDOI
Optimizing Subspace SVM Ensemble for Hyperspectral Imagery Classification
Yushi Chen,Xing Zhao,Zhouhan Lin +2 more
TL;DR: A novel subspace mechanism, the Optimizing Subspace SVM Ensemble (OSSE), is introduced to improve RSSE by selecting discriminating subspaces for individual SVMs, based on Genetic Algorithm.