TY - GEN
T1 - Spatial Constrained Hyperspectral Reconstruction from RGB Inputs Using Dictionary Representation
AU - Geng, Yunhao
AU - Mei, Shaohui
AU - Tian, Jin
AU - Zhang, Yifan
AU - Du, Qian
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Reconstructing hyperspectral images from RGB inputs has gained great attention recently. In dictionary representation-based hyperspectral image reconstruction, dictionary representation is first carried out in RGB space and then dictionary reconstruction is conducted in hyperspectral space for per-pixel reconstruction. However, such work mainly focuses on spectral mapping from RGB space to hyperspectral space, ignoring physical distribution of objects in the image. In this paper, spatial context of pixels is used to improve the reconstruction performance. Specially, neighboring pixels are used to constrain the dictionary representation problem in RGB space, and the Simultaneous Orthogonal Matching Pursuit (SOMP) is used to improve the performance of hyperspectral reconstruction. Experimental results on two benchmark data sets demonstrate the superiority of the proposed technique..
AB - Reconstructing hyperspectral images from RGB inputs has gained great attention recently. In dictionary representation-based hyperspectral image reconstruction, dictionary representation is first carried out in RGB space and then dictionary reconstruction is conducted in hyperspectral space for per-pixel reconstruction. However, such work mainly focuses on spectral mapping from RGB space to hyperspectral space, ignoring physical distribution of objects in the image. In this paper, spatial context of pixels is used to improve the reconstruction performance. Specially, neighboring pixels are used to constrain the dictionary representation problem in RGB space, and the Simultaneous Orthogonal Matching Pursuit (SOMP) is used to improve the performance of hyperspectral reconstruction. Experimental results on two benchmark data sets demonstrate the superiority of the proposed technique..
KW - Dictionary learning
KW - Hyperspectral
KW - SOMP
KW - Sparse representation
UR - https://www.scopus.com/pages/publications/85077715062
U2 - 10.1109/IGARSS.2019.8898871
DO - 10.1109/IGARSS.2019.8898871
M3 - 会议稿件
AN - SCOPUS:85077715062
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3169
EP - 3172
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 -