Undersampled Hyperspectral Image Reconstruction Based on Surfacelet Transform
Hyperspectral imaging is a crucial technique for military and environmental monitoring. However, limited equipment hardware resources severely affect the transmission and storage of a huge amount of data for hyperspectral images. This limitation has the potentials to be solved by compressive sensing...
Main Authors: | Lei Liu, Jingwen Yan, Di Guo, Yunsong Liu, Xiaobo Qu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Journal of Sensors |
Online Access: | http://dx.doi.org/10.1155/2015/256391 |
Similar Items
-
SURFACELET TRANSFORM BASED MAMMOGRAM CLASSIFICATION SYSTEM
by: Leena Jasmine J S
Published: (2016-06-01) -
Surfacelet-based heterogeneous materials modeling
by: Huang, Wei
Published: (2014) -
A surfacelet-based method for constructing geometric models of microstructure
by: Jeong, Namin
Published: (2016) -
Reconstruction of Self-Sparse 2D NMR Spectra from Undersampled Data in the Indirect Dimension
by: Zhong Chen, et al.
Published: (2011-09-01) -
Undersampled MR Image Reconstruction with Data-Driven Tight Frame
by: Jianbo Liu, et al.
Published: (2015-01-01)