Hyperspectral Imaging preprocessing method for raw data acquired from hyperspectral camera?

Hello everyone,

I captured some images from of hyperspectal imaging system. My final aim to identify the material composition from the images. However before that i need to perform some image preprocessing like

calibration, noise removal, feature extraction , dimensionality reduction. can you please suggest some code or routine to the do these task?

Also after this task, i wanted to apply classification algorithm so it can detect the material from it

Can you guys tell me a way to perform efficiently. Thanks a ton.

far too broad to be answered.

please be more specific, what you have and what you need from it,
and - one problem at a time

Sorry, i just wanted to remove the noise and background removal from the images . So this data can be used for the further processing.

Just now tell me about noise and background removal from the images. Thank you

@berak Sorry, i just wanted to remove the noise and background removal from the images . So this data can be used for the further processing.

Just now tell me about noise and background removal from the images. Thank you

we don’t spoon feed here. we don’t enable lazy behavior.

you are asking very simple questions such as “what is X”. you can ask those to a search engine.

or browse the opencv tutorials (docs.opencv.org).

or take a comprehensive course on image processing or computer vision.

or, if you don’t feel like acquiring the skills and knowledge to solve the problem yourself, you could hire someone.

you could also show us a sample of your data.