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| Questions to ask here. | == Questions to ask here == * The codes for residuals, mapinfo, picinfo * Does having landmarks with only 1 or no images mess things up? * Bigmap - what does Map overlap mean * No fit. Below height correlation limit * How does different resolution work into the solution * Residuals * Bigmap * Geometry PICINFO Col1 - Image name Col2 - Date image was taken, UTC(derived from GPS) Col3 - resolution Col4 - number of landmarks Col5 - number of limbs Col 6 - The number is greater than piclimit (the 2.5) c coordinate system, using the body fixed system b using body fixed system, but using crosstrack radial (in orbit) "*" 3 or fewer landmarks for the image Col 7 - Pixel residual (RMS in pixels) Bottom of file, gives the resolution of the images (# of) MAPINFO col 1 landmark name col 2 landmark resolution col 3-5 lat, lon, radius col 6 num of images col 7 num of overlaps col 8 num of limbs col 9 formal uncertainty in meters of the landmark position col 10 Flag >> Usually ignore (shown by limits set when you run residuals) Things you might want to look at ** Fewer than 3 images col 11 Residual in meters of the nominals and position == done == |
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| -- 50 meters + 25% -- The footprint width of the XXXXXX.IN files is resolution * #pixels * 360 / (2 Pi cos (latitude) Radius ) |
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| -- fill, does better resolution -- Notes in Dropbox/Avatars -- make a big map, take all maplets that are enclosed (inside.txt) replace all of their height info from bigmap. Then take all of the maps (usedmaps.txt), then do a complete iteration. |
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*What is a good way to output a DEM in the form of a DEM (png, binary, ascii) 1/64th works out into 68 meters and higher at higher latitudes S. Pole map is at 25 meter resolution SpheremapB - DTEM and shaded relief -- raw and pgm, 16bit unsigned short (which is in the header) -- takes bigmaps and makes a large map (either orthograthic, stereo, equrect) option C, equatrangular mGrav - makes elevation map relative to gravity slope, gravity, acceleration, elevation |
Questions to ask here
- The codes for residuals, mapinfo, picinfo
- Does having landmarks with only 1 or no images mess things up?
- Bigmap - what does Map overlap mean
- No fit. Below height correlation limit
- How does different resolution work into the solution
- Residuals
- Bigmap
- Geometry
PICINFO
- Col1 - Image name Col2 - Date image was taken, UTC(derived from GPS) Col3 - resolution Col4 - number of landmarks Col5 - number of limbs Col 6 -
- The number is greater than piclimit (the 2.5) c coordinate system, using the body fixed system b using body fixed system, but using crosstrack radial (in orbit) "*" 3 or fewer landmarks for the image
MAPINFO
- col 1 landmark name col 2 landmark resolution col 3-5 lat, lon, radius col 6 num of images col 7 num of overlaps col 8 num of limbs col 9 formal uncertainty in meters of the landmark position col 10 Flag
>> Usually ignore (shown by limits set when you run residuals) Things you might want to look at
- * Fewer than 3 images
done
- What is the math for the resolution and scale parameters.
- -- 50 meters + 25% -- The footprint width of the XXXXXX.IN files is resolution * #pixels * 360 / (2 Pi cos (latitude) Radius )
- How do I increase the resolution of a big map (aka do more processing), especially how to remove bands
- -- fill, does better resolution -- Notes in Dropbox/Avatars -- make a big map, take all maplets that are enclosed (inside.txt) replace all of their height info from bigmap. Then take all of the maps (usedmaps.txt), then do a complete iteration.
- Have you uploaded the LAMO images yet?
- Can you upload your new maplets/landmarks (via rsync if possible)
- Any more work on Tislovsky? (better than 5 meter)
- What is a good way to output a DEM in the form of a DEM (png, binary, ascii)
1/64th works out into 68 meters and higher at higher latitudes S. Pole map is at 25 meter resolution
SpheremapB - DTEM and shaded relief -- raw and pgm, 16bit unsigned short (which is in the header) -- takes bigmaps and makes a large map (either orthograthic, stereo, equrect)
- option C, equatrangular
mGrav - makes elevation map relative to gravity
- slope, gravity, acceleration, elevation