Modulation transfer function and noise assessment

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.

[1]  G. Ramstein,et al.  Analysis of the structure of radiometric remotely-sensed images , 1989 .

[2]  D. Leger,et al.  MTF measurement using spotlight , 1994, Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium.

[3]  Dominique Leger,et al.  Modulation transfer function measurement using nonspecific views , 2003, SPIE Remote Sensing.

[4]  Philip N. Slater,et al.  Remote sensing, optics and optical systems , 1980 .

[5]  Gerald C. Holst,et al.  CCD arrays, cameras, and displays , 1996 .