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Thank you for your wonderful work. I now have a task that needs to perform super resolution for hyperspectral images in remote sensing. As the name implies, hyperspectral images have more than 3 chann…
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Hello,
Can you share the central wavelength data of the hyperspectral dataset? This information is important to obtain RGB data from hyperspectral data.
Thanks in advance!
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The resolution of the hyperspectral data (Houston-2018) is 1-m. However, the ground truth is provided as raster at a 0.5-m GSD.
And according to TABLE III in this paper, it seems to be downsampl…
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@afalty and I just spoke about their hyperspectral image analysis routine and database. They have plans to make the database and analysis routine open source and want to see it applied in Open Specy. …
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At the request of @CoryMartin-NOAA , I have come up with a subset of channels for the hyperspectral instruments to prevent producing plots for 1328 channels. This gets the number down to 95.
The …
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Hello, I want to commend you on the exceptional work you have done on hyperspectral image super-resolution. I observed that the paper mentions the use of sparse loss, but I couldn't locate the corres…
vq12 updated
2 months ago
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Hello, thank you for providing such a great job.
I am trying to use this work for processing hyperspectral images, but I would like to cancel the use of pre trained weights as they are applicable …
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We need Level_1 outputs from 2018 using existing code to recalibrate the new algorithm.
It seems the **cst_cnv_trg.nc** file has trouble with the new band count - the new algorithm doesn't use this…
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**Title**: Produce quality indices for assessing hyperspectral data
### Description:
The quality index essentially helps to indicate possible issues on the captured images such as issues in sen…
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Do you have the code for “HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections”?