Best Way to Visualize Hyperspectral Data in Python
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- čas přidán 12. 09. 2024
- In this video, a true color reproduction of ENVI images of hyperspectral data is performed in Python. In order to do that, the colorimetric color reproduction using standard colorimetric observer and illuminant is used. This is the best way to visualize hyperspectral data as it reproduces the true color of the objects from their corresponding hyperspectral images. To access the code go to the following link:
github.com/mor...
Great video again. Already subscribed. Need a video on showing the reflectance spectrum for a given point🙌🏻Keep up the good work
Thank you so much!
It is a very Informative video again.
Great post! Do you have an example of ENVI HSI files to use with your code? Thanks
Thank you so much! This example uses ENVI images.
@@Morteza_Sc I meant - can you please post a link to example ENVI image? Repo didn't contain one, and I'm struggling to find example online. Thanks
@@georgiylevchuk8254 I see! I’m away now and don’t have access to the image that I used. I’ll be back in a few days and upload an ENVI image to the repository. I’ll let you know in a few days.
@@Morteza_Sc thanks!
@@georgiylevchuk8254 The data is now included:
github.com/mortezmaali/True_color_reproduction_from_ENVI_Hyperspectral_Image_Python.git
Is that the only color matching function you used? Or there are more? If yes, why you chose that?
There are two color matching functions, 1931 and 1964. For the purpose of visualization on the computer, 1931 suffices. But for Car industries and others that need a larger viewing angles, 1964 is best.
hlo i didnt get the data file for working this python is there any other solution for this
The link to data is here:
github.com/mortezmaali/True_color_reproduction_from_ENVI_Hyperspectral_Image_Python.git