Abstract
A radiometric correction method for linear array sensor image is proposed. This method removes stripe noise pattern caused by the errors of detector characteristics of the sensor. In this method, mean and variance of output image are calculated for each detector. Highpass filters are applied to the statistics to estimate gain and offset errors of the detectors.
In this paper, power spectra of mean and variance of each detector are studied by assuming a 2-dimensional auto-correlation model for the original image. Based on the power spectrum models of the statistics, Wiener filters (least square filters) are derived. In the method the filter parameters are determined adaptively by the sensor image.
An experiment was made by simulating image of linear array sensor using a LAN-DSAT image. The stripes were removed in the corrected image and the decrease of the rms error of the image intensity showed the effectiveness of the method.
