MISR global data products: A new approach

被引：4

作者：

Braverman, A

Di Girolamo, L

机构：

[1] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA

[2] Univ Illinois, Dept Atmospher Sci, Urbana, IL 61801 USA

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2002年 / 40卷 / 07期

关键词：

clustering algorithms; data compression; entropy-constrained vector quantization; Level; 3; products; massive datasets;

D O I：

10.1109/TGRS.2002.801159

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

This paper describes a new type of global, gridded product being created by the Multi-angle Imaging SpectroRadiometer (MISR) team. The product is a compressed version, or summary, of MISR geophysical data products on a 11 monthly global grid. Data belonging to each grid cell are summarized by a multivariate histogram. The numbers, sizes, and shapes of the histogram bins vary among cells, and they adapt to the shape of the data in high-dimensional space. Also, bin representatives are means rather than midpoints. These modifications allow data to be summarized parsimoniously and with lower error than is possible using customary, simple, descriptive statistics. The method is demonstrated by compressing test MISR aerosol data, and performance is assessed by comparing computations using compressed data with those using the original.

引用

页码：1626 / 1636

页数：11

共 5 条

[1]

ASH RB, 1965, INFORMATION THEORY

[2] Compressing massive geophysical datasets using vector quantization [J].