TY - GEN
T1 - Hyperspectral Unmixing VIA L1/4 Sparsity-Constrained Multilayer NMF
AU - Zhang, Zihan
AU - Wang, Qi
AU - Yuan, Yuan
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Hyperspectral unmixing, by extracting the fractional abundances of endmembers from the hyperspectral image (HSI), has raised wide attention in recent years. In last decade, nonnegative matrix factorization (NMF) have been intensively studied for solving spectral unmixing problem. In this paper, we extend the multilayer NMF method by incorporating the L1/4 sparsity constraint, named L1/4-MLNMF. The L1/4 regularizer induces sparsity effectively. We propose an iterative estimation algorithm for L1/4-MLNMF, which provides sparser and more accurate results than MLNMF. Experiments on a synthetic dataset and a real dataset show that the prposed method outperforms the similar competitors.
AB - Hyperspectral unmixing, by extracting the fractional abundances of endmembers from the hyperspectral image (HSI), has raised wide attention in recent years. In last decade, nonnegative matrix factorization (NMF) have been intensively studied for solving spectral unmixing problem. In this paper, we extend the multilayer NMF method by incorporating the L1/4 sparsity constraint, named L1/4-MLNMF. The L1/4 regularizer induces sparsity effectively. We propose an iterative estimation algorithm for L1/4-MLNMF, which provides sparser and more accurate results than MLNMF. Experiments on a synthetic dataset and a real dataset show that the prposed method outperforms the similar competitors.
KW - hyperspectral image
KW - Hyperspectral unmixing
KW - nonnegative matrix factorization
UR - http://www.scopus.com/inward/record.url?scp=85077718376&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2019.8898427
DO - 10.1109/IGARSS.2019.8898427
M3 - 会议稿件
AN - SCOPUS:85077718376
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2143
EP - 2146
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Y2 - 28 July 2019 through 2 August 2019
ER -