TY - GEN
T1 - Towards weakly Pareto optimal
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
AU - Pan, Bin
AU - Wang, Liming
AU - Xu, Xia
AU - Shi, Zhenwei
N1 - Publisher Copyright:
© 2018 IEEE
PY - 2018/10/31
Y1 - 2018/10/31
N2 - Band selection refers to finding the most representative channels from hyperspectral images. Usually, certain objective functions are designed and combined via regularization terms. Owing to the parameters independence and the optimal solutions, multi-objective based methods have presented promising performance. However, the characteristics of the hyperspectral band selection problem make its range to be discrete. In this case, recently proposed weighted Tchebycheff based multi-objective band selection methods could only reach the weakly Pareto optimal, which would result in non-unique solutions. In this paper, we improve the decomposition process of the multi-objective based band selection method via a boundary intersection approach. Compared with weighted Tchebycheff decomposition, the proposed method is able to change the shape of the contour lines between Pareto Front and the ideal point, and this approach is particularly suitable for discrete-range problems. The effectiveness of our improvement is demonstrated by comparison experiments.
AB - Band selection refers to finding the most representative channels from hyperspectral images. Usually, certain objective functions are designed and combined via regularization terms. Owing to the parameters independence and the optimal solutions, multi-objective based methods have presented promising performance. However, the characteristics of the hyperspectral band selection problem make its range to be discrete. In this case, recently proposed weighted Tchebycheff based multi-objective band selection methods could only reach the weakly Pareto optimal, which would result in non-unique solutions. In this paper, we improve the decomposition process of the multi-objective based band selection method via a boundary intersection approach. Compared with weighted Tchebycheff decomposition, the proposed method is able to change the shape of the contour lines between Pareto Front and the ideal point, and this approach is particularly suitable for discrete-range problems. The effectiveness of our improvement is demonstrated by comparison experiments.
KW - Band selection
KW - Hyperspectral imagery
KW - Multi-objective optimization
UR - https://www.scopus.com/pages/publications/85063153567
U2 - 10.1109/IGARSS.2018.8517616
DO - 10.1109/IGARSS.2018.8517616
M3 - 会议稿件
AN - SCOPUS:85063153567
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4705
EP - 4708
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 July 2018 through 27 July 2018
ER -