3 ms·

Thanks! I was wondering if the devil is in the details--if the datasets are so large (petabytes+?) that there are millions of these "differences", most of which

by breck 8y ago

Thanks! I was wondering if the devil is in the details--if the datasets are so large (petabytes+?) that there are millions of these "differences", most of which are false positives from factors like atmospheric noise or equipment issues, and what the computing challenges were sifting through it all...Or perhaps as you hint it is relatively straightforward after all.

sandworm101 8y ago
With two images there are lots of false positives. But if you have three or more you can look for stuff moving in strait lines. That can be easily automated. Most near-earth object detection (bright, fast objects) is now totally automated. Hunting for planet X is about finding a little smudge of pixels moving a pixel or two to the right.