Destriping MODIS Data by Facet Model and Histogram Matching

The MODerate resolution Imaging Spectrometer (MODIS) is consisted of cross-track scan mirror and linear arrays of ten detectors. Because 1) the abnormal behavior of the response of each detector, 2) optical cross–talk and shortwave infrared thermal leak, and 3) reflectance, emissivity, or polarization of each scan mirror side are the cause of artificial strips appearing in the images. The histogram modification algorithm by Weinreb 1989 seemed to be the most promising way in correcting the strip noise. It is based on an assumption that each sensor view a statistically similar sub scenes. However, undesirable side-effect of Weinreb’s algorithm arise from the certain cases which are statistical differences sensitivity in the image data recorded by the individual detectors, and detector saturation generates stripe. In this paper, the modification of Weinreb’s algorithm was developed and implemented by acquiring image statistics from homogeneous subimages and removing saturated strip by a method based on local gray tone statistics from the facet model.