4 ms·
Mostly you’re trading spatial real estate on your sensor for spectral resolution. A conmon approach is to use all vertical pixels for wavelength data. By using
by knolan 9y ago
Mostly you’re trading spatial real estate on your sensor for spectral resolution. A conmon approach is to use all vertical pixels for wavelength data. By using a diffraction grating to disperse the light vertically you get a view of the world one pixel high and n pixels wide. By scanning the scene (such as an orbiting satellite) you build up the missing spatial dimension of your data.
You can make your own:
https://publiclab.org/wiki/spectrometry https://publiclab.org/wiki/spectrometry
Many other versions are variants of this that disperse light in different ways to retain a spatial image.
Other approaches include building sophisticated sensors such as the foveon technology from Sigma.
- crankylinuxuser 9y agoOH, I get it. So in a way, it is like a rotating filter wheel. But instead, you're using a prism to diffract each frequency. So that you end up getting a frequency per line. You'd have to calibrate the prism for straightness WRT to the horizontal pixels. And I see a calibration needed with a two pure wavelength lightsources, to get a baseline. Seems like it could be done for fairly cheap. Thanks for the heads up, knolan :)