paper 150205034059

Published: 2015-07-09

An Inverse Model for Sea Ice Thickness Retrieval Using Simulated Annealing

Kee Choon Yeong,

Kee Choon Yeong

Universiti Tunku Abdul Rahman, Malaysia

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Hong Tat Ewe,

Hong Tat Ewe

Universiti Tunku Abdul Rahman, Malaysia

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Yu Jen Lee

Universiti Tunku Abdul Rahman, Malaysia

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Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)1885-1888

Abstract

An inverse model named the Radiative Transfer Inverse Scattering Model (RTISM) for the retrieval of sea ice thickness using Radiative Transfer Theory (RTT) had previously been developed by the authors. The model incorporates the use of the Dense Medium Phase and Amplitude Correction Theory (DMPACT) for better accuracy in the radar backscatter calcula- tions and the application of the Levenberg-Marquardt Algorithm (LMA) to predict the sea ice thickness from the radar backscatter data. While the model has been successful in its attempts to predict the sea ice thickness from radar backscatter data, it has limitations in extending its applications to other sea ice parameters. In this paper, the study of using Simulated Annealing (SA) as an alternative solution for the LMA in the RTISM is presented. SA is appealing as a viable option to replace the LMA due to several reasons. It is a global optimizer and reduces the likelihood of being trapped in a local extremum, thus improving convergence. In addition, SA eliminates the cumbersome recalculation of the Jacobian matrices of the problem function for different applications, as required by LMA. Thus, the use of SA generalizes the inverse model and allows for more room to extend its applications. A comparison between the performances of both optimizers implemented in the RTISM shall be explored in terms of the execution time and accuracy in predicting the sea ice thickness.

Citation

Kee Choon Yeong, Hong Tat Ewe, and Yu Jen Lee, "An Inverse Model for Sea Ice Thickness Retrieval Using Simulated Annealing," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)1885-1888

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