[DOI: 10.21982/pzj2-fm81] Optimized Twin Dictionaries (OTD) for Hyperspectral and Multispectral Image Fusion
Han, Xiaolin; Xue, Jing-Hao; Sun, Weidong
This MATLAB code is designed to fuse low-spatial-resolution hyperspectral (LH) images and high-spatial-resolution multispectral (HM) images. The fusion problem is formulated analytically in the framework of sparse representation, as an optimization of twin spectral-spatial dictionaries and their corresponding sparse coefficients. More specifically, the spectral dictionary representing the generalized spectrums and its spectral sparse coefficients are optimized by utilizing the observed LH and HM images in the spectral domain; and the spatial dictionary representing the spatial information and its spatial sparse coefficients are optimized by modeling the rest of high-frequency information in the spatial domain.
Code Link: OTD_hxl.zip
Code Size: 59917812 bytes
Code MD5 Checksum: 273c0bfcaedc0123742b348e04d30481
Appears in: Han X, Yu J, Xue J-H, Sun W. Hyperspectral and multispectral image fusion using optimized twin dictionaries, IEEE Transactions on Image Processing (TIP), vol. 29, pp. 4709-4720, 2020.
Code Languages: Matlab, depends on the KSVD toolbox.
Sensor Categories: Optical Imager, Optical Spectrometer
Instrument Processing and Calibration Categories: Optical Imager, Optical Spectrometer
Keywords: Hyperspectral image fusion, optimized twin dictionaries (OTD), sparse representation, spectral dictionary, spatial dictionary