In the gallery, that are images with a large planetary body in view from a satellite and other false detections, that still work.Д«ut in general too much clutter in the image causes more difficulty in solving. that cause more than several false detections, this could drive failure to calibrate. If there is debris, clouds, reflections, etc. Looking at the *-objs.png file should quickly reveal that mostly stars are highlighted.

Two of the first lines upon running solve-field should be like: Downsampling by 2. a 3D intensity plot) may reveal a lot of false source detection potential.ДSLR images especially should use -downsample 2 or -downsample 4. The default source count limit is 1000, but this is way too many for a practical solution time (or indeed, a solution at all).ДЄdjusting the -sigma parameter is a useful way to control for noisy image.ДЄn image that at a glance looks high SNR upon closer inspection (e.g. This can be observed in the *-objs.png files generated early in the solve-field processing chain.ДЄ reasonable goal for the number of sources detected is about 100. Noisy images, including typical DSLR images of the night sky can have too many (false) sources detected in step 1. techniques and tips 19 June, 2020ДЄ solve-field process, with conversion to azimuth / elevation per pixel with a known image location and time.

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