A nonlinear multispectral statistical CLEAN-based precipitation parameter-retrieval algorithm

• Published in: IEEE transactions on geoscience and remote sensing Vol. 38; no. 1; pp. 226 - 237
• Main Authors: Skofronick-Jackson, G.M., Gasiewski, A.J.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.01.2000; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Applied geophysics; Content based retrieval; Deconvolution; Earth sciences; Earth, ocean, space; Exact sciences and technology; Hydrology; Hydrology. Hydrogeology; Ice; Image resolution; Image retrieval; Information retrieval; Internal geophysics; Iterative algorithms; Meteorology; Precipitation; Radio astronomy; Rain; microwaves; algorithms; rainfall; atmospheric precipitation; multispectral remote sensing; accuracy; ice; deconvolution; imagery; radiometry; filtering; errors; high resolution; statistics

An iterative algorithm incorporating CLEAN deconvolution concepts for precipitation parameter retrieval using passive microwave imagery is presented. The CLEAN algorithm was originally designed to deconvolve single-channel radio astronomy images. In order to use CLEAN to retrieve precipitation param...