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A Sensor-Based Approach to Image Quality Ein sensorbasierter Ansatz zur Bestimmung der Bildqualität

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Abstract:

In the past 20 years a large effort has been made to characterize the image quality of remote sensing systems. The image quality can actually be measured only by the quality of the final product (e.g. object detection, classification). One option now is to use the national image interpretability rating scales (NIIRS), because NIIRS is related to object detection. From an engineering standpoint a task-based scale, like NIIRS is not well suited, because it cannot be derived from the fundamental sensor and scene behaviour. Therefore, the aim of this paper is to derive an image quality criterion, based on the physical characteristics of sensor and scene. 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 square error (LMSE). This criterion, we abbreviate in the following with IQC (image quality criterion).

German
In den letzten 20 Jahren wurde ein großer Aufwand zur Beschreibung der Qualität von Fernerkundungsbildern betrieben. Die Bildqualität kann letztlich nur durch die Beurteilung der Qualität des Endproduktes (z.B. Objektdetektion, Klassifizierung) eingeschätzt werden. Eine Möglichkeit ist die Verwendung des NIIRS (national image interpretability rating scales), da sich NIIRS auf die Objektdetektion bezieht. Vom Standpunkt des Sensorentwicklers ist NIIRS aber nicht gut geeignet, da es nicht von den grundlegenden Sensorparametern und den Szenencharakteristika abgeleitet werden kann. Deshalb wird in dieser Arbeit ein Bildqualitätskriterium vorgeschlagen, das auf diesen Größen beruht. Wir vergleichen hierzu den Output eines realen Sensors mit dem eines auf die entsprechende Aufgabe zugeschnittenen idealen Sensors mit Hilfe eines local mean square error (LMSE) Kriteriums. Dieses Kriterium kürzen wir im Folgenden mit IQC (image quality criterion) ab.

Keywords: IDEAL SENSOR; IMAGE NOISE; IMAGE QUALITY; POINT SPREAD FUNCTION

Document Type: Research Article

DOI: http://dx.doi.org/10.1127/1432-8364/2012/0099

Publication date: February 1, 2012

More about this publication?
  • Photogrammetrie - Fernerkundung - Geoinformation (PFG) is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the intricately connected field of geoinformation processing.

    Papers published in PFG highlight new developments and applications of these technologies in practice. The journal hence addresses both researchers and student of these disciplines at academic institutions and universities and the downstream users in both the private sector and public administration.

    PFG places special editorial emphasis on the communication of new methodologies in data acquisition, new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general.

    PFG is the official journal of the German Society of Photogrammetry and Remote Sensing.
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