Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351983
