Large-Scale Inverse Modeling of Microwave Backscatter from Sea

remundq @ ee.by u.edu, long @ ee.by u.edu Abstruct- Many forward electromagnetic scattering models have been proposed to predict the normalized radar cross section, &', from sea ice characteristics. In this paper, we apply scatterometer data to large scale inverse modeling. Given the limite...

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Bibliographic Details
Main Authors: Quinn P. Remund, David G. Long
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2000
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.391.8767
http://www.mers.byu.edu/long/papers/conf/IGARSS2000JulyRemund2.pdf
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Summary:remundq @ ee.by u.edu, long @ ee.by u.edu Abstruct- Many forward electromagnetic scattering models have been proposed to predict the normalized radar cross section, &', from sea ice characteristics. In this paper, we apply scatterometer data to large scale inverse modeling. Given the limited resolution, we adopt a simple geometric optics forward scattering model to analyze surface and volume scattering contributions to observed Ku-band signatures. A model inversion technique based on recursive optimization of an objective function is developed. Simulations demonstrate the performance of the method in the presence of noise. The inverse model is implemented using Ku-band image reconstructed data collected by the NASA scatterometer. The results are used to analyze and interpret 0 ' phenomena occurring in the Arctic.