Sparse representation based binary hypothesis model for hyperspectral image classification

DOI10.1155/2016/3460281zbMath1400.94031OpenAlexW2409622250WikidataQ59130871 ScholiaQ59130871MaRDI QIDQ1792994

Shucai Huang, Yidong Tang, Aijun Xue

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/3460281

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Image analysis in multivariate analysis (62H35) Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
• Sparse and Redundant Representations
• Sparse Representations and Compressive Sensing for Imaging and Vision
• Subspace Pursuit for Compressive Sensing Signal Reconstruction

This page was built for publication: Sparse representation based binary hypothesis model for hyperspectral image classification