Superresolution reconstruction of hyperspectral remote sensing imagery using constrained optimization of POCS

Author

Ma, Jianglin ; Chan, Jonathan Cheung-Wai

Author_Institution

Dept. of Geogr., Vrije Univ. Brussel (VUB), Brussels, Belgium

fYear

2012

fDate

22-27 July 2012

Firstpage

7271

Lastpage

7274

Abstract

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.

Keywords

data integrity; edge detection; geophysical image processing; image denoising; image reconstruction; image resolution; optimisation; principal component analysis; remote sensing; PCA-based denoising; POCS superresolution reconstruction; a priori knowledge; amplitude constraint; angular hyperspectral images; constrained optimization; data consistency; extended superresolution observation model; hyperspectral remote sensing imagery; multiple constraint criteria; multiviewing hyperspectral CHRIS images; outlier rejection; principal component analysis; total variation edge smoothing constraint; Hyperspectral imaging; Image reconstruction; Image resolution; Interpolation; Principal component analysis; TV; POCS; Superresolution; hyperspectral;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351983

Filename

6351983