I've spent a number of years doing image orthorectification, and satellite imagery post-processing, then also worked on Google Earth and Google Maps, so I can tell you precisely what happened. This is a satellite image from a satellite which photographs different spectra at different times. There isn't enough parallax at typical orbital distance for this much displacement to come from multiple cameras. Looking at some parked cars, this looks like 20-30cm resolution per pixel, which is consistent with the newer earth imaging satellites.
Google Earth made a blog post about this a while ago (https://www.gearthblog.com/blog/archives/2015/03/planes-flig...)
(Edit: Actually DLP does it in about that amount of time, nvm)
If you can find a vertical structure, like an antenna mast, you can measure shadow length and direction and if you know the height of the antenna, you have enough information for some trigonometry.
Speed is harder. You'd need to know the difference between exposures.
Took me a while to find it, so thought I'd save someone else the scrolling/search cost.
We know that telephone poles stick about 32 feet from the ground. Measuring the shadow in Google Earth above, it's about 20 feet. Now, it's a simple ratio.
Using Earth, I measured the distance from the plane to its shadow at about 2430 feet, that would put it at 3,900ft, which is surprisingly low, but I don't know the height of that pole for sure. It's the right ballpark, though.
> This one was probably on final approach during the summer when the winds are usually out of the south and was probably about 2,000 feet above the ground.
Basically a 1D sensor that acquires a 2D image because the camera itself is moving.
In this case, I'd imagine that there are 3 such sensors for RGB.
It makes for easier top-of-atmosphere correction, and can be useful for things other than pretty pictures.
Or a static camera and a moving subject. This same style of camera is used for "photo finishes" in races. The camera is literally the finish line, and the the first pixel to "cross the line" is the winner.
Any type of sensor could be CMOS.
Whereas your normal digital camera has a fixed rectangular array of pixels, and the scanning is just reading them progressively (what's called 'rolling shutter') because it's hard to read them all quickly enough at once. Some more expensive sensors do 'global shutter' which usually has better motion characteristics for video.
edit: Seems like pushbroom is the name for TDI when it's put in a satellite.
Parallax based Cloud Detection for Sentinel-2 Analysis Ready Data Generation https://www.researchgate.net/publication/332999809_Parallax_...
Aircraft Detection above Clouds by Sentinel-2 MSI Parallax https://www.mdpi.com/2072-4292/13/15/3016
Better yet... does anyone have the corrected image?
I see about a 10 foot separation between colors.
Velocity = distance / time
400 mph is 587 fps.
10 / 587 = 17 ms
When I used to work in remote sensing I remember that Bing Maps had a very distinct resolution transition from spacecraft to aircraft. Aircraft coverage maps were a small subset of the total earth land area, but most US towns had some coverage at that time (~2012).
As you zoomed in, you could tell when Bing switched capture methods because the aircraft cameras were clearly off-nadir, and you'd see off-angle perception differences.
If you zoom in on a road near the pinned location for this post, and then go to, say, downtown kansas city, and zoom in you'll see a pretty significant difference.
[1] https://www.google.com/maps/place/38%C2%B059'37.1%22N+93%C2%...
I'd bet orbital motion is negligible here because the distortion seems to the eye to be entirely in the direction of the plane's apparent motion vector and I don't see any significant skew to that.
According to the image on Google maps it was taken by Maxar. Maxar appears to have a few satellites, looks like 5 in geostationary orbit (~35,700km), 3 at about 400km and 1 at about 500km.
https://www.google.com/maps/place/39%C2%B001'18.5%22N+93%C2%...
Not a huge fan of the vector art badges though, I want some embroidery!
2500 ft * sin( 15 ) = 650 ft
Someone should double-check my geometry though.https://i.imgur.com/HWA1iZu.png
Edit: nope you're totally right. Brain fart. It's toa, not soa.
Source: http://www.usgs.gov/faqs/what-are-band-designations-landsat-...
Infrared imaging is not "military", it's public, common, and legal.
[0] https://www.dearsusan.net/2020/11/09/nyquist-mtf-pixel-shift...
In fact, the first color photos in the world were taken this way in the early 1900s [1]: take three monochrome exposures onto black and white transparencies with R/G/B filters, and then project the three images together.
[0] https://leicarumors.com/2020/01/29/color-photography-with-th...
I’m curious if it is technically possible for a digital sensor to capture the entire light spectrum of the scene, without the need for RGB separation at any stage—similar to Lippmann plate[0].
https://en.wikipedia.org/wiki/Foveon_X3_sensor
Though they're not as good in most other dimensions as conventional Bayer filter sensors (most Amazon reviews e.g. say that it's impossible to photograph moving human subjects without daylight iirc).
I assume this is to maximize resolution, since no Bayer interpolation [0] is needed to demosaic the output of a traditional image sensor that integrates the color filters onto the sensor pixels themselves. As these satellites are not intended to photograph things in motion, the color channel alignment artifacts seen here are a rare, small price to pay for vastly improved resolution and absence of demosaicing artifacts.
[0] https://en.m.wikipedia.org/wiki/Bayer_filter