SUPERRESOLUTION RECONSTRUCTION OF HYPERSPECTRAL REMOTE SENSING IMAGERY USING CONSTRAINED OPTIMIZATION OF POCS

被引：6

作者：

Ma, Jianglin ^{[1
]}

Chan, Jonathan Cheung-Wai ^{[1
]}

机构：

[1] Vrije Univ Brussel, Dept Geog, B-1050 Brussels, Belgium

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

Superresolution; POCS; hyperspectral; RESTORATION; RESOLUTION;

D O I：

10.1109/IGARSS.2012.6351983

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An extended superresolution observation model is proposed for POCS superresolution of hyperspectral images. Multiple constraint criteria based on a priori knowledge were incorporated: data consistence, amplitude constraint, Total Variation edge smoothing constraint, outlier rejection, and PCA based denoising. The constraint criteria are applied using POCS superresolution reconstruction. The method was tested with both simulation and multi-viewing hyperspectral CHRIS images. Preliminary results of the constraint based superresolution shows potential for angular hyperspectral images.

引用

页码：7271 / 7274

页数：4

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