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An Enhanced Algorithm for Automatic Radiometric Harmonization of High-Resolution Optical Satellite Imagery Using Pseudoinvariant Features and Linear Regression

Langheinrich, Maximilian and Fischer, Peter and Probeck, Markus and Ramminger, Gernot and Wagner, Thomas and Krauß, Thomas (2017) An Enhanced Algorithm for Automatic Radiometric Harmonization of High-Resolution Optical Satellite Imagery Using Pseudoinvariant Features and Linear Regression. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 41 (1). ISPRS Hannover Workshop, 6.-9. Jun. 2017, Hannover, Germany.

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Official URL: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/115/2017/

Abstract

The growing number of available optical remote sensing data providing large spatial and temporal coverage enables the coherent and gapless observation of the earth’s surface on the scale of whole countries or continents. To produce datasets of that size, individual satellite scenes have to be stitched together forming so-called mosaics. Here the problem arises that the different images feature varying radiometric properties depending on the momentary acquisition conditions. The interpretation of optical remote sensing data is to a great extent based on the analysis of the spectral composition of an observed surface reflection. Therefore the normalization of all images included in a large image mosaic is necessary to ensure consistent results concerning the application of procedures to the whole dataset. In this work an algorithm is described which enables the automated spectral harmonization of satellite images to a reference scene. As the stable and satisfying functionality of the proposed algorithm was already put to operational use to process a high number of SPOT-4/-5, IRS LISS-III and Landsat-5 scenes in the frame of the European Environment Agency's Copernicus/GMES Initial Operations (GIO) High-Resolution Layer (HRL) mapping of the HRL Forest for 20 Western, Central and (South)Eastern European countries, it is further evaluated on its reliability concerning the application to newer Sentinel-2 multispectral imaging products. The results show that the algorithm is comparably efficient for the processing of satellite image data from sources other than the sensor configurations it was originally designed for.

Item URL in elib:https://elib.dlr.de/124371/
Document Type:Conference or Workshop Item (Poster)
Title:An Enhanced Algorithm for Automatic Radiometric Harmonization of High-Resolution Optical Satellite Imagery Using Pseudoinvariant Features and Linear Regression
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Langheinrich, Maximilianmaximilian.langheinrich (at) dlr.deUNSPECIFIED
Fischer, PeterPeter.Fischer (at) dlr.deUNSPECIFIED
Probeck, MarkusGAF AGUNSPECIFIED
Ramminger, GernotGAF AGUNSPECIFIED
Wagner, ThomasGAF AGUNSPECIFIED
Krauß, Thomasthomas.krauss (at) dlr.deUNSPECIFIED
Date:2017
Journal or Publication Title:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:41
Status:Published
Keywords:Radiometric Harmonization, Pseudo-Invariant Features, Sentinel-2, Remote Sensing, Copernicus, GIO, HRL Forest
Event Title:ISPRS Hannover Workshop
Event Location:Hannover, Germany
Event Type:international Conference
Event Dates:6.-9. Jun. 2017
Organizer:ISPRS
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: Langheinrich, Maximilian
Deposited On:06 Dec 2018 12:50
Last Modified:31 Jul 2019 20:22

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