Comparison of bit allocation methods for compressing three-dimensional meteorological data after applying KLT

Author

Lucero, Aldo ; Cabrera, Sergio ; Aguirre, Alberto ; Argaez, Miguel ; Vidal, Edward, Jr.

Author_Institution

Dept. of Electr. & Comput. Eng., Texas Univ., El Paso, TX, USA

Volume

4

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

2514

Abstract

This paper presents the latest results of an ongoing project to assess the impact of lossy compression applied to three-dimensional meteorological data. The main innovative outcomes presented are based on different bit allocation techniques used to compress Karhunen-Loeve transformed data. The transform is applied in the z-direction (between slices) as suggested in the JPEG2000 Part 2 standard. New results using these bit allocation techniques are presented on two data sets. The performance results are presented in terms of SNR, root-mean squared error (RMSE), and the maximum absolute error (MAE) for the entire cube of data.

Keywords

atmospheric techniques; data compression; image coding; meteorology; 3D meteorological data compression; JPEG2000 Part 2 standard; KLT; Karhunen-Loeve transformed data; bit allocation methods; bit allocation techniques; lossy compression; maximum absolute error; root-mean squared error; Atmospheric modeling; Bit rate; Image converters; Karhunen-Loeve transforms; Meteorology; Predictive models; Temperature; Transform coding; Weather forecasting; Wind forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1369806

Filename

1369806