thm.white noise remove1

Contents: Description, Arguments, Usage, Examples, Images, Related Functions Supported Under Version: >1.69 Current Davinci Version: 2.27 64-bit Safe: No Description White noise removal algorithm for THEMIS radiance cubes Converts to emissivity, smoothes and recombines with unsmoothed brightness temperature Arguments and Return Values Arguments: The radiance cube, a convolve kernel size and options Return Value: The radiance cube with white noise removed Usage Syntax: thm.white_noise_remove1(rad = VAL [, k_size = INT] [, bandlist = INT] [, ignore = VAL] [, b1 = INT] [, b2 = INT]) 'rad' - Any 3-D THEMIS radiance array. 'k_size' - An optional size of the smoothing kernel. Default is 5. 'bandlist' - An optional ordered list of THEMIS bands in rad. Default is 1:10. 'ignore' - An optional non-data pixel value. Default is -32768 AND 0. 'b1' - An optional first band to search for maximum brightness temperature. Default is 3. 'b2' - An optional last band to search for maximum brightness temperature. Default is 9. NOTE: This smoothing algorithm does well for radiance, but it visibly degrades the emissivity images. NOTE: This algorithm is most effective in THEMIS images that have been radcorred Examples dv> a 345x7179x10 array of float, bsq format [99,070,200 bytes] dv> a1 = thm.white_noise_remove1(a) 345x7179x10 array of float, bsq format [99,070,200 bytes] Images

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