3D data compression of hyperspectral imagery using vector quantization with NDVI-based multiple codebooks

被引：5

作者：

Qian, SE ^{[1
]}

Hollinger, AB ^{[1
]}

Williams, D ^{[1
]}

Manak, D ^{[1
]}

机构：

[1] Canadian Space Agcy, St Hubert, PQ J3Y 8Y9, Canada

来源：

IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT | 1998年

关键词：

D O I：

10.1109/IGARSS.1998.702318

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This paper describes a new vector quantization based algorithm that uses the remote sensing knowledge Normalized Difference Vegetation Index (NDVI) to reduce the Codebook Generation Time (CGT) and Coding Time (CT). The experimental results showed that it yielded an improvement in both CGT and CT of 14.1 and 14.8 times when the scene of a data set is segmented into 16 classes, while the reconstruction fidelity was almost as same as that by the conventional vector quantization algorithm. The PSNR of the reconstructed data reached 43.31 dB when the compression ratio was of 81:1.

引用

页码：2680 / 2684

页数：5

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