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Fast, simple and good pan-sharpening method

Palubinskas, Gintautas (2013) Fast, simple and good pan-sharpening method. Journal of Applied Remote Sensing, 7 (1), pp. 1-12. Society of Photo-optical Instrumentation Engineers (SPIE). DOI: 10.1117/1.JRS.7.073526 ISSN 1931-3195

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Abstract

Pan-sharpening of optical remote sensing multispectral imagery aims to include spatial information from a high resolution image (high frequencies) into a low resolution image (low frequencies) while preserving spectral properties of a low resolution image. From a signal processing view a General Fusion Filtering framework (GFF) can be formulated, which is very well suitable for a fusion of multi-resolution and multi-sensor data such as optical-optical and optical-radar imagery. To reduce computation time a simple and fast variant of GFF - High Pass Filtering Method (HPFM) - is proposed, which performs filtering in signal domain and thus avoids time consuming FFT computations. A new Joint Quality Measure (JQM) based on the combination of two spectral and spatial measures was proposed for quality assessment by a proper normalization of the ranges of variables. Quality and speed of six pan-sharpening methods: Component Substitution (CS), Gram-Schmidt (GS) sharpening, Ehlers fusion, ARSIS, GFF and HPFM was evaluated for WorldView-2 satellite remote sensing data. Experiments showed that the HPFM method outperforms all the fusion methods used in this study even its parentage method GFF. Moreover, it is more than 4 times faster than GFF method and competitive with CS and GS methods in speed.

Item URL in elib:https://elib.dlr.de/83049/
Document Type:Article
Title:Fast, simple and good pan-sharpening method
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Palubinskas, GintautasGintautas.Palubinskas (at) dlr.deUNSPECIFIED
Date:9 August 2013
Journal or Publication Title:Journal of Applied Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:7
DOI :10.1117/1.JRS.7.073526
Page Range:pp. 1-12
Editors:
EditorsEmail
Gao, WeiColorado State University, USA
Publisher:Society of Photo-optical Instrumentation Engineers (SPIE)
ISSN:1931-3195
Status:Published
Keywords:image fusion, multi-resolution, multi-sensor, quality assessment
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Palubinskas, Dr.math. Gintautas
Deposited On:24 Jun 2013 14:48
Last Modified:31 Jul 2019 19:41

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