Analysis the Typhoon Eyes of Megi from MTSAT Satellite Cloud Images with 3-D Profile Reconstruction-Reference-Cited by-同舟云学术

Analysis the Typhoon Eyes of Megi from MTSAT Satellite Cloud Images with 3-D Profile Reconstruction

Published: Issue: Volume: Page:143-151
ISSN:
Container-title:Modern Library Technologies for Data Storage, Retrieval, and Use
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Author:

Lee Yueh-Jyun¹,Liu Ji-Chyun¹,Liu Shih-Wen¹,Lin Yuh-Fong¹,Chang Lung-Chun¹

Affiliation:

1. Ching Yun University, Taiwan

Abstract

In this paper, image reconstruction technique (IRT) is used to reconstruct a 3-D profile of typhoons from MTSAT satellite cloud image data and based on a 1691 MHz receiver and iDAP system. The satellite cloud image data gives a single line profile slicing from a surface cloud image which does match the typhoon distribution. The line profile is presented with the temperature of the cloud top. The 3-D profiles of typhoons are constructed with the surface cloud images and the temperatures. IRT is conducted using the data of the 2010 Megi event. The typhoon feature is studied and the various typhoon eyes in three time intervals are analyzed. An effective early-warning system may become feasible based on this work.

Publisher

IGI Global

Reference17 articles.

1. Typhoon Locating and Reconstruction from the Infrared Satellite Cloud Image

2. Pao, T. L., Yeh, J. H., Liu, M. Y., & Hsu, Y. C. (2006). Locating the typhoon center from the IR satellite cloud images. In Proceedings of the IEEE International Conference on Systems (pp. 484-488).

3. Validation and Application of Altimetry-Derived Upper Ocean Thermal Structure in the Western North Pacific Ocean for Typhoon-Intensity Forecast

4. Method base on multi-channel satellite cloud image for typhoon segmentation.;H.Qian;Beijing Hangkong Hangtian Daxue Xuebao,2011

5. Qian, H., Jiang, B., Zhang, Z., & Wang, L. (2010). A level set-based framework for typhoon segmentation with application to multi-channel satellite cloud images. In Proceedings of the 3rd International Congress on Image and Signal Processing (pp. 1273-1275).