Hi all,
we have shuffled together a few IR photos, extracted 3D model with PhotoSynth, meshed, textured, projected and other stupid things.
Now could somebody tell me if it serves any purpose because I got creativity crisis.
Hi all,
we have shuffled together a few IR photos, extracted 3D model with PhotoSynth, meshed, textured, projected and other stupid things.
Now could somebody tell me if it serves any purpose because I got creativity crisis.
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Comments
@Clark
For me this is exactly ON topic :-)
However, for detecting one inch nozzle track you need some half inch per pixel... Right?
Precision agriculture - excuse me for going a little off topic but this all ties in with the IR and what it us used for in our farming opperation.
Some of the things we are doing with GPS: at this time we are planting with 5 tractors/planters in the same field starting at 5 different locations all coming together with the row spacing being within 1 inch acuracy. At the same time we are also controling seed rates and fertilizer being applied. When we get done with each 125 acre field the amount of seed applied is within 1.5% and the fertilizer being within 0.7%.
As these crops start to grow and we take the IR photos you can see spots where the seed may have been planted too deep or one row that had a clogged nozzle. The percentages above were from some of the better fields, the field that are out of spec are the ones you can see variances in. When planting 8000 acres of spuds, 9500 acres of corn, and 5500 acres of peas it pays to be precise and be able to analize the results.
@ me - Like I said before, I'm not the camera guy and haven't dove into that one much yet, just going by what I was told.
When I say real time obstacle avoidance I mean if the UAV is flying towards a tree it can gather the models in time to plot a course to evade it
Clark, can you confirm thar the ir mkosaic iR realy iR ?
I think a real iR can show another color .
precision agriculture
remote sensing on forest \ soil \water etc...
"The formula is (NIR – Red)/ (NIR + Red), where NIR is the Near Infrared channel, and Red is the Red channel."
Suppose we have both visual and full spectrum camera, in full spectrum we got NIR mixed into all bands.
So the solution appears to be:
* FS-VIS -> got NIR spread over all channels.
* make grayscale of it, got single NIR.
* calculate NIR-RED and NIR+RED.
Piece a cake?
The advantage is that nowhere we are capturing NIR on a single frame, thus we have more light into the camera (one is visual and one even more sensitive as it is full spectrum).
@narwhal "real time for obstacle avoidance?"
It depends on your realtime frequency. At present, with development of the tools, 3-7 day interval should be feasible. For sure this kind of analysis allows avoiding many obstacles for plant growth.
@Jack
"If there was a viable reason for doing it, women would be doing it."
You mean shaving?