October 22, 2024
Chicago 12, Melborne City, USA
python

Automated method to filter relevant images


I have a set of remote sensing images as show in the figure below. There is all together around 100,000 or so images and only a few are relevant for my task. A lot of these images are thing like the ocean which I don’t require or just corrupted shots. What I am interested in is images like no 2 and 4 in the plot below. I am wondering if there is some sort of automated way to select these images. There is definitely pattern when you plot color histogram but I am having hard time thinking of a way to filter relevant images from the irrelevant ones.

Clustering is probably an option too but do I just add raw pixel values as feature (that would be 256 x256 feature)

Any information on this task is much appreciated !

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