tlooto
Sign up
Open AccessComputer ScienceEnvironmental ScienceEngineering

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

Yushi Chen, Hanlu Jiang, Chunyang Li, X. Jia, Pedram Ghamisi

2016.7.18IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

DOI: 10.1109/tgrs.2016.2584107

tlooto Summary

This paper proposes a 3-D CNN-based FE model with combined regularization to extract effective spectral-spatial features of hyperspectral imagery and reveals that the proposed models with sparse constraints provide competitive results to state-of-the-art methods.

Abstract

Abstract is not available.

Citation format

CHEN, Yushi, et al. Deep feature extraction and classification of hyperspectral images based on convolutional neural networks. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 54: 6232–6251.