thm.deplaid

Contents: Citation, Description, Arguments, Usage, Examples, Images, Related Functions Supported Under Version: > 1.74 Current Davinci Version: 2.27 64-bit Safe: No Citation Nowicki, K. J., C. S. Edwards, P. R. Christensen, Post-Projection Removal of Row- and Column-Correlated Noise in Line-Scanning Data: Application to THEMIS infrared Data (in press, 2013), IEEE-Whispers Transactions (pre-print) Description Removes plaid from multiband THEMIS spectral cubes. Located in "thm" module. Arguments and Return Values Accepts geometrically projected and rectified radiance cubes of at most 10 bands Returns a cleaned cube of the same size Usage Syntax: thm.deplaid(data = VAL [, ignore = VAL] [, tmask_max = VAL] [, tmask_min = VAL] [, filt_len = INT] [, b10 = INT] [, axis = ENUM]) data: geometrically projected and rectified radiance cube of at most 10 bands ignore: the value of non-data pixels - default is -32768 tmask_max: max threshold used to create the temperature mask - default is 1.15 tmask_min: min threshold used to create the temperature mask - default is 0.80 filt_len: length of filter used in plaid removal - default is 150 b10: the band (1 - 10) in the data that is THEMIS band 10 - default is 10 axis: the direction to deplaid (x,y,xy) - default is xy TROUBLESHOOTING You should designate b10 when NOT feeding deplaid 10 band data, b10 = 0 for no band-10 data. You can return the blackmask/temperature mask by using "dump=1". If you get brightness smear, then bring the tmask_max and/or min closer to 1.0. If you still see long-wavelength plaid, such as in cold images, increase filt_len. If the image looks washed-out check your null value. Examples b = thm.deplaid(a) b = thm.deplaid(data=a,ignore=-32768,tmask_max=1.25,tmask_min=.85,filt_len=200,b10=3) b = thm.deplaid(a,0,tmask_max=1.21) b = thm.deplaid(a,0,1.10,.90,180,8) Images

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