autoRIFT
autoRIFT copied to clipboard
nasa-jpl
A Python module of a fast and intelligent algorithm for finding the pixel displacement between two images
L4 & 5 imagery is plagued by banding issues that are especially noticeable over low contrast snow and ice surfaces. This causes the feature tracking to lock onto banding discontinuities...
Hi autoRIFT team, We (@whyjz,@dshean,@MaxVWDV,@willkochtitzky and I) were discussing autoRIFT seeding parameters a while back and meant to clarify this back then, but it spill through my todo list. If...
In the initial preprocessing of the imagery (e.g. application of the Wallis filter) we need to add an option for L7 filtering which requires filling the missing data stripes with...
What's the reason for this? Please help me! 
Hello, thank for creating this wonderful program. I was wondering if AutoRIFT includes, or if there are any plans to include a pixel-wise reliability measure for the displacements results. In...
When I use testGeogrid_ISCE.py, it puts the error "Error with orbit interpolation". The output infomation is as follow: ``` This is the Open Source version of ISCE. Some of the...
With https://github.com/nasa-jpl/autoRIFT/pull/59 we changed the default Wallis filter width to 5. This change should only be applied to optical missions, so this PR sets the filter width back to 21...
As @alex-s-gardner pointed out, the paper and production code need to be corrected in computations of `v_error`: https://github.com/nasa-jpl/autoRIFT/blob/e683e485b0e194a0b63def90ccbdee11ad56fb2a/netcdf_output.py#L697 It should be changed to: `v_err = (vx_err.*abs(vx) + vy_err.*abs(vy))./v`
