Resolution Enhancement of Multichannel Microwave Imagery from the Nimbus-7 SMMR for Maritime Rainfall Analysis

William S. Olson Department of Meteorology, University of Wisconsin—Madison, Madison, WI 53706

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Chia-Lung Yeh Kodak Research Laboratories, Rochester, NY 14650

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James A. Weinman Space Science and Engineering Center, University of Wisconsin—Madison, Madison, WI 53706

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Roland T. Chin Department of Electrical and Computing Engineering, University of Wisconsin—Madison, Madison, WI 53706

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Abstract

A restoration of the 37, 21, 18, 10.7 and 6.6 GHz satellite imagery from the Scanning Multichannel Microwave Radiometer (SMMR) aboard Nimbus-7 to 22.2 km resolution is attempted using a deconvolution method based upon nonlinear programming. The images are deconvolved with and without the aid of prescribed constraints, which form the processed image to abide by partial a priori knowledge of the high-resolution result. The restored microwave imagery may be utilized to examine the distribution of precipitating liquid water in maritime rain systems.

Abstract

A restoration of the 37, 21, 18, 10.7 and 6.6 GHz satellite imagery from the Scanning Multichannel Microwave Radiometer (SMMR) aboard Nimbus-7 to 22.2 km resolution is attempted using a deconvolution method based upon nonlinear programming. The images are deconvolved with and without the aid of prescribed constraints, which form the processed image to abide by partial a priori knowledge of the high-resolution result. The restored microwave imagery may be utilized to examine the distribution of precipitating liquid water in maritime rain systems.

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