Spatial-spectral Based Multi-view Low-rank Sparse Sbuspace Clustering for Hyperspectral Imagery (CROSBI ID 672569)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tian, Long ; Du, Qian ; Kopriva, Ivica ; Younan, Nicolas
engleski
Spatial-spectral Based Multi-view Low-rank Sparse Sbuspace Clustering for Hyperspectral Imagery
Hyperspectral image (HSI) Clustering is an unsupervised task, which segments pixels into different groups without using labeled samples. In this paper, spatial-spectral based multi-view low-rank sparse subspace clustering (SSMLC)algorithm is proposed. Due to significant number of spectra bands HSI contains much more information than a regular image. These spectral information can be considered as multiview. In this paper, the spectral partitioning is applied to generate spectral views which contain correlated bands. Morphological features of the original HSI are taken as another view which contains spatial features. Principal components construct another view, which eliminates the noise in the original dataset. After the multi-view dataset is formed, multi-view low-rank sparse subspace clustering is applied to segment HSI. Our experiments show that the performance of the proposed SSMLC is better than other that of clustering algorithms such as sparse subspace clustering and low-rank sparse subspace clustering.
Hyperspectral image ; clustering ; low-rank sparse subspace clustering ; multi-view learning ; spatial-spectral feature
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
8488-8491.
2018.
objavljeno
10.1109/IGARSS.2018.8519284
Podaci o matičnoj publikaciji
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Plaza, Antonio ; Jimenez, Juan Antonio
Piscataway (NJ): Institute of Electrical and Electronics Engineers (IEEE)
978-1-5386-7150-4
2153-6996
2153-7003
Podaci o skupu
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018)
poster
22.07.2018-27.07.2018
Valencia, Španjolska