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- W2359787725 abstract "Normalization of histogram is often required in image preprocessing stage such as multi temporal remote sensing image matching and land-use change detection.The normalization can also minimize different imaging condition effects in analysis and rectify radiometric differences derived from solar/sensors location,atmospheric effects between adjacent images in such a way as if they have been acquired at the same imaging conditions.Relative radiometric normalization which is normally applied in image preprocessing stage does not remove all unwanted effects.In this paper,a method has been developed based on regression applied on unchanged pixels.The proposed method is based on efficient selection of unchanged pixels through image difference histogram modeling using available spectral bands and calculation of relevant coefficients for dark,gray and bright pixels in each band.The coefficients are applied to produce the normalized image.The idea has been implemented on two TM image datasets.The capability of the approach in taking in to account the imaging condition differences and effectively excluding real land change pixels from the normalization process has shown better performance in the evaluation stage." @default.
- W2359787725 created "2016-06-24" @default.
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- W2359787725 date "2011-01-01" @default.
- W2359787725 modified "2023-09-26" @default.
- W2359787725 title "Normalization of Digital Satellite Image Histogram Based on Unchanged Pixels" @default.
- W2359787725 hasPublicationYear "2011" @default.
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