Hyperspectral image compression employing a model of anomalous pixels

被引：26

作者：

Penna, Barbara ^{[1
]}

Tillo, Tammam ^{[1
]}

Magli, Enrico ^{[1
]}

Olmo, Gabriella ^{[1
]}

机构：

[1] Politecn Torino, Dipartimento Elettr, I-10129 Turin, Italy

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2007年 / 4卷 / 04期

关键词：

anomaly detection; discrete wavelet transform (DWT); hyperspectral data; JPEG; 2000; Karhunen-Loeve transform (KLT); lossy compression; Reed-Xiaoli (RX) algorithm; wavelet;

D O I：

10.1109/LGRS.2007.903976

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：

We propose a new lossy compression algorithm for hyperspectral images, which is based on the spectral KarhunenLoeve transform, followed by spatial JPEG 2000, which employs a model of anomalous pixels during the compression process. Results on Airborne Visible/Infrared Imaging Spectrometer scenes show-that the new algorithm provides better rate-distortion performance, as well as improved anomaly detection performance, with respect to the state of the art.

引用

页码：664 / 668

页数：5

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