DocumentCode
2943568
Title
Modulation transfer function and noise assessment
Author
Delvit, Jean-Marc ; Léger, Dominique ; Roques, Sylvie ; Valorge, Christophe
Author_Institution
DOTA, ONERA, Toulouse, France
Volume
7
fYear
2003
fDate
21-25 July 2003
Firstpage
4500
Abstract
In the context of Earth observation satellites such as SPOT or IKONOS, it is important to measure the Modulation Transfer Function (MTF) and the noise in order to quantify the quality of the imaging system. This measurement is useful to decide to focus the telescope or to make a deconvolution filter whose purpose is to enhance image contrast. This paper presents a univariant MTF and noise measurement method using non specific views. It is a particular application of a general approach of image quality assessment. The method presented in this paper is based on artificial neural network (ANN) use. The ANN learns how to recognize MTF and noise from known images, and the neural network is able, after a learning step, to assess the MTF and the noise from unknown images.
Keywords
filtering theory; geophysical techniques; image recognition; neural nets; optical noise; optical transfer function; remote sensing; Earth observation satellites; IKONOS; SPOT; artificial neural network; deconvolution filter; filtering theory; image recognition; imaging system; modulation transfer function; noise assessment; noise measurement method; Artificial neural networks; Artificial satellites; Deconvolution; Filters; Focusing; Image quality; Image recognition; Noise measurement; Telescopes; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1295560
Filename
1295560
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