Spectral Tensor Synthesis Analysis for Hyperspectral Image Spectral–Spatial Feature Extraction

Ronghua Yan; Jinye Peng; MA Dong-mei; Desheng Wen

doi:10.1007/s12524-018-0873-0

ScienceGate Book Chapters

JOURNAL ARTICLE

Spectral Tensor Synthesis Analysis for Hyperspectral Image Spectral–Spatial Feature Extraction

Ronghua Yan Jinye Peng MA Dong-mei Desheng Wen

Year: 2018 Journal: Journal of the Indian Society of Remote Sensing Vol: 47 (1)Pages: 91-100 Publisher: Springer Science+Business Media

DOI: 10.1007/s12524-018-0873-0

Get Full-Text PDF Get Analytical Report

Keywords:

Hyperspectral imaging Full spectral imaging Pattern recognition (psychology) Artificial intelligence Principal component analysis Feature extraction Pixel Preprocessor Dimension (graph theory) Mathematics Data cube Computer science Dimensionality reduction Feature (linguistics) Tensor (intrinsic definition) Remote sensing Geography Data mining

Metrics

Cited By

1.10

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Tensor decomposition and applications

Physical Sciences → Mathematics → Computational Mathematics

Spectral Tensor Synthesis Analysis for Hyperspectral Image Spectral–Spatial Feature Extraction

Metrics

Citation History

Topics

Related Documents

Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis

Discriminant Tensor Spectral–Spatial Feature Extraction for Hyperspectral Image Classification

Hyperspectral image spectral–spatial classification using local tensor discriminant feature extraction

Hyperspectral Image Tensor Feature Extraction Fusing with Multiple Spectral-spatial Features

Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral–Spatial Feature Extraction