Reversible compression of hyper-spectral imagery through inter-band fuzzy prediction and context coding

被引：5

作者：

Aiazzi, B ^{[1
]}

Alba, PS ^{[1
]}

Alparone, L ^{[1
]}

Baronti, S ^{[1
]}

机构：

[1] CNR, Ist Ric Onde Elettromagnet, I-50127 Florence, Italy

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.1998.702319

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

A new method for reversible compression of multispectral images is presented. 3-D data are decorrelated by means of an inter-band causal prediction obtained through the fuzzy switching of a set of predictors representative of 3-D micro-patterns occurring across bands, whose coefficients are LS-estimated in a preliminary learning phase. The outcome residuals are entropy coded by exploiting context information. Results of compression on both Landsat TM and AVIRIS images show that the proposed approach outperforms other schemes reported by the most recent and advanced literature.

引用

页码：2685 / 2687

页数：3