TY - GEN
T1 - Hyperspectral Band Selection Based on Improved Affinity Propagation
AU - Zhu, Qingyu
AU - Wang, Yulei
AU - Wang, Fengchao
AU - Song, Meiping
AU - Chang, Chein I.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/24
Y1 - 2021/3/24
N2 - Dimensionality reduction is a common method to reduce the computational complexity of hyperspectral images and improve the classification performance. Band selection is one of the most commonly used methods for dimensionality reduction. Affinity propagation (AP) is a clustering algorithm that has better performance than traditional clustering methods. This paper proposes an improved AP algorithm (IAP), which divides each intrinsic cluster into several subsets, and combines the information entropy to change the initial availability matrix to obtain a suitable number of clustering results with arbitrary shapes. The experimental results on the public hyperspectral data set show that the band combination selected by IAP has a better classification accuracy compared with all bands data set and band subset by traditional AP algorithm.
AB - Dimensionality reduction is a common method to reduce the computational complexity of hyperspectral images and improve the classification performance. Band selection is one of the most commonly used methods for dimensionality reduction. Affinity propagation (AP) is a clustering algorithm that has better performance than traditional clustering methods. This paper proposes an improved AP algorithm (IAP), which divides each intrinsic cluster into several subsets, and combines the information entropy to change the initial availability matrix to obtain a suitable number of clustering results with arbitrary shapes. The experimental results on the public hyperspectral data set show that the band combination selected by IAP has a better classification accuracy compared with all bands data set and band subset by traditional AP algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85112862467&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85112862467&partnerID=8YFLogxK
U2 - 10.1109/WHISPERS52202.2021.9484004
DO - 10.1109/WHISPERS52202.2021.9484004
M3 - Conference contribution
AN - SCOPUS:85112862467
T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
BT - 2021 11th Workshop on Hyperspectral Imaging and Signal Processing
PB - IEEE Computer Society
T2 - 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021
Y2 - 24 March 2021 through 26 March 2021
ER -