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Optics and Radar Image Fusion Based on Image Quality Assessment

Reulke, Ralf and Giaquinto, Gianluca and Giovenco, Marcello (2015) Optics and Radar Image Fusion Based on Image Quality Assessment. In: Sensing Technology: Current Status and Future Trends IV. Sensing Technology: Current Status and Future Trends IV Smart Sensors, Measurement and Instrumentation, 12. Springer International Publishing. pp. 83-100. doi: 10.1007/978-3-319-12898-6_5. ISBN 978-3-319-12897-9.

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Official URL: http://dx.doi.org/10.1007/978-3-319-12898-6_5


In many applications the image quality of remote sensing data is of fundamental importance and is usually assessed by visual analysis subjective to the interpreter. In many situations, a single sensor is not sufficient to provide an accurate perception of the real world. Data and image fusion is a common way to overcome this problem. The basic objective of data fusion is to derive a higher amount of information compared to that what would have from any individual input sensor. Therefore, multi-sensor data fusion has become an intense research area in recent years. The first part of this present work goes in this direction.

Item URL in elib:https://elib.dlr.de/95030/
Document Type:Book Section
Title:Optics and Radar Image Fusion Based on Image Quality Assessment
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Reulke, RalfInstitut für Optische SensorsystemeUNSPECIFIEDUNSPECIFIED
Giaquinto, GianlucaInstitut für Optische SensorsystemeUNSPECIFIEDUNSPECIFIED
Giovenco, MarcelloInstitut für Optische SensorsystemeUNSPECIFIEDUNSPECIFIED
Date:January 2015
Journal or Publication Title:Sensing Technology: Current Status and Future Trends IV
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 83-100
EditorsEmailEditor's ORCID iDORCID Put Code
Mason, AlexLiverpool John Moores UniversityUNSPECIFIEDUNSPECIFIED
Mukhopadhyay, Subhas ChandraMassey UniversityUNSPECIFIEDUNSPECIFIED
Jayasundera, Krishanthi P.Massey UniversityUNSPECIFIEDUNSPECIFIED
Publisher:Springer International Publishing
Series Name:Smart Sensors, Measurement and Instrumentation
Keywords:Fusion, Radar-Optik-Fusion, remote sensing data, image quality
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Optische Sensorik - Theorie, Kalibration, Verifikation (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems > Optics, Calibration and Validation
Deposited By: Reulke, Prof. Dr. Ralf
Deposited On:04 Feb 2015 08:42
Last Modified:04 Feb 2015 08:42

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