elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Image quality and image resolution

Reulke, Ralf and Börner, Anko and Giaquinto, Gianluca and Giovenco, Marcello and Jahn, Herbert (2012) Image quality and image resolution. In: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.. XXIInd ISPRS Congress, 25. Aug. - 01. Sep 2012, Melbourne, Australien. DOI: 10.5194/isprsarchives-XXXIX-B5-63-2012 (Unpublished)

Full text not available from this repository.

Abstract

A large effort has been made to characterize the image quality of remote sensing systems. One option is to use the National Image Interpretability Rating Scales (NIIRS), because NIIRS is re-lated to object detection. From an engineering standpoint NIIRS is not well suited, because it cannot be derived from the fundamental sensor and scene behaviour. An alternative approach is to derive an image quality criterion, based on the physical characteristics of sensor and scene. In this paper we present two approaches for physical based quality criteria. To assess the image quality, we compare the output of the real sensor with the output of an ideal sensor based on a Local Mean Squared Error (LMSE). This criterion, we abbreviate in the following with IQC (Image Quality Criterion). The second approach is a measure of the smallest resolvable object (SRO), which determines the size of a potential target to be imaged considering basic parameters of the opto-electronic system (e.g., ground sampling distance, signal-to-noise ratio, modulation transfer function, dynamic range). This criteria is related to the well known image resolution. SRO is a measure, which can be interpreted easily from users without being familiar with technical details on one hand, and is rather physics based than other heuristic models. SRO can be applied to all imaging optical sensor systems in an identical way avoiding different physical models or measures. In the paper, these approaches are discussed and compared. ...

Item URL in elib:https://elib.dlr.de/77234/
Document Type:Conference or Workshop Item (Speech)
Title:Image quality and image resolution
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Reulke, Ralfralf.reulke (at) dlr.deUNSPECIFIED
Börner, Ankoanko.boerner (at) dlr.deUNSPECIFIED
Giaquinto, Gianlucagianluca.giaquinto (at) dlr.deUNSPECIFIED
Giovenco, Marcellomarcello.giovenco (at) dlr.deUNSPECIFIED
Jahn, Herbertherbert.jahn (at) dlr.deUNSPECIFIED
Date:September 2012
Journal or Publication Title:Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:No
In ISI Web of Science:No
DOI :10.5194/isprsarchives-XXXIX-B5-63-2012
Status:Unpublished
Keywords:LMSE, IQC, SRO, NIIRS
Event Title:XXIInd ISPRS Congress
Event Location:Melbourne, Australien
Event Type:international Conference
Event Dates:25. Aug. - 01. Sep 2012
Organizer:ISPRS
HGF - Research field:Aeronautics, Space and Transport, Aeronautics, Space and Transport, Aeronautics, Space and Transport
HGF - Program:Space, Space, Space
HGF - Program Themes:Earth Observation, Earth Observation, Earth Observation
DLR - Research area:Raumfahrt, Raumfahrt, Raumfahrt
DLR - Program:R EO - Erdbeobachtung, R EO - Erdbeobachtung, R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Optische Systeme (old), R - Vorhaben Optische Sensortechnologien (old), R - Vorhaben Optische Informationssysteme (old)
Location: Berlin-Adlershof
Institutes and Institutions:Optical Information Systems
Deposited By: Dombrowski, Ute
Deposited On:11 Sep 2012 09:36
Last Modified:11 Sep 2012 09:36

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.