Dimensionality reduction method based on a tensor model-Reference-Cited by-同舟云学术

Dimensionality reduction method based on a tensor model

Published:2017-05-31 Issue:2 Volume:11 Page:025011
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Yan Ronghua¹,Peng Jinye²,Ma Dongmei³,Wen Desheng⁴

Affiliation:

1. Northwestern Polytechnical University, School of Electronics and Information, Xi’an, ChinabXi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China

2. Northwestern Polytechnical University, School of Electronics and Information, Xi’an, ChinacNorthwest University, School of Information and Technology, Xi’an, China

3. Xi’an Janssen Pharmaceutical Ltd., Xi’an, China

4. Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference19 articles.

1. Dimensionality reduction and coloured noise removal from hyperspectral images

2. Discriminant Tensor Spectral–Spatial Feature Extraction for Hyperspectral Image Classification

3. Dimensionality Reduction for Hyperspectral Data Based on Class-Aware Tensor Neighborhood Graph and Patch Alignment

4. Hyperspectral image denoising using the robust low-rank tensor recovery

5. Compressive Hyperspectral Imaging via Sparse Tensor and Nonlinear Compressed Sensing

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