A hyperspectral image super-resolution realization method and system
A hyperspectral image and super-resolution technology, which is applied in the field of hyperspectral image super-resolution realization method and system, can solve problems such as spectral feature loss, and achieve the effect of reducing spectral loss
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Embodiment 1
[0042] Embodiments of the present invention provide a hyperspectral image super-resolution implementation method, such as figure 1 As shown, the method includes the following steps:
[0043] Step S1: Enlarge the original hyperspectral image to a low-resolution hyperspectral image of the same size as the expected output by means of interpolation.
[0044] The embodiment of the present invention considers the low-resolution hyperspectral image of a single image, and first uses the interpolation method to enlarge it to a low-resolution hyperspectral image of the same size as the expected output. Since only spatial information is considered in the interpolation method, the interpolation process Much spatial detail information has been lost, and spectral information has also been distorted, so further processing to increase resolution is required.
[0045] Step S2: Input the low-resolution hyperspectral image into the spatial spectral feature extraction network to generate a high-...
Embodiment 2
[0066] Embodiments of the present invention provide a hyperspectral image super-resolution implementation system, such as image 3 shown, including:
[0067] The low-resolution hyperspectral image acquisition module 1 is used to amplify the original hyperspectral image to a low-resolution hyperspectral image of the same size as the expected output by means of interpolation; this module performs the step S1 in the embodiment 1. The method described will not be repeated here.
[0068] The high-resolution hyperspectral image generation module is used to input the low-resolution hyperspectral image into the spatial spectral feature extraction network to generate a high-resolution hyperspectral image. The spatial spectral feature extraction network includes: spectral mapping network, spatial The reconstruction network and the space-spectrum fusion network input the low-resolution hyperspectral images into the spectral mapping network and the spatial reconstruction network respecti...
Embodiment 3
[0071] An embodiment of the present invention provides a computer device, such as Figure 4 As shown, the device may include a processor 51 and a memory 52, wherein the processor 51 and the memory 52 may be connected via a bus or in other ways, Figure 4 Take connection via bus as an example.
[0072] As a non-transitory computer-readable storage medium, the memory 52 can be used to store non-transitory software programs, non-transitory computer-executable programs and modules, such as corresponding program instructions / modules in the embodiments of the present invention. The processor 51 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 52, that is, to realize the hyperspectral image super-resolution in the first method embodiment above. Implementation.
[0073] The memory 52 may include a program storage area and a data storage area, wherein the progra...
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