I am simulating multispectral sensors to acquire multispectral images from hyperspectral data. What type of noise should be modeled during the acquisition? There is already some noise in the hyperspectral data so only Gaussian noise may not be sufficient for such a model?
Some authors have specifically adressed the modeling of multispectral/hyperspectral Imaging sensors. It results from their studies that various types of noise have to be taken into account (at sensor level). The accuracy of your model will also depend of your level of requirements. For example, follow these links for more details:
model", 2005: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.916.8699&rep=rep1&type=pdf
Hoping it will be helpfull to you.
Dear Haris,
welcome,
Stephane gave some links treating the noise in photodetectors. However, i would like to add basically the noise model depends on the detector used. Th noise i a diode type photodetector comprises the shot noise, the thermal noise, the dark current noise and the 1/f noise dominant at the low frequency.
The expression of every type of noise can be found in the link:http://www.st-andrews.ac.uk/~ctab/MSc_Oft/Lecture_Notes/lecture_10.pdf
Also the data sheets contains information about the noise in the detectors.
Best wishes
Dear Stephane and Abdalhalim,
Many thanks for your guidance. I really appreciate that.
Hello Haris,
Is the hyperspectral data are real data from a camera or it is synthesized data?
Maybe you have to know if the noise is corrected or not before adding additionnal noise model.
pj
Hi Pierre,
I am using Foster dataset for reflectance. Although there is some noise in it but for simulations, noise needs to be added to prove stability and robustness of any proposed idea.
What are your thoughts about it?
Hi Haris,
Another reference to corroborate the diversity of noises to take into account when simulating a multispectral / hyperspectral sensor :
http://color.psych.upenn.edu/simchapter/simchapter.pdf (see section §3)
The accuracy of the model will depend on your needs. If your interest focuses on optical lenses, here is a good reference:
https://pdfs.semanticscholar.org/6156/f603e50ea74a94779e95b43a4848a9a8642d.pdf
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