Abstract
A new adaptive method is introduced to reconstruct missing lines in multispectral images. The method uses available information from the failed pixel surrounding due to spectral and spatial correlation of multispectral data. The reconstruction is based on a set of mutually competing decreasing order adaptive regression models from which the locally sub-optimal predictor is selected.
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Bernstein, R., Lotspiech, J.B., Myers, H.J., Kolsky, H.G., Lees, R.D.: Analysis and Processing of Landsat-4 Sensor Data Using Advanced Image Processing Techniques and Technologies. IEEE Trans on Geosci., GE-22 (1984) 192–221
Haindl,M., Šimberová,S.: A Multispectral Image Line Reconstruction Method. In: Theory & Applications of Image Analysis. P. Johansen, S. Olsen Eds., World Scientific Publishing Co., Singapore, 1992.
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© 1995 Springer-Verlag Berlin Heidelberg
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Haindl, M., Šimberová, S. (1995). A multi-model image line reconstruction. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_373
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DOI: https://doi.org/10.1007/3-540-60268-2_373
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Print ISBN: 978-3-540-60268-2
Online ISBN: 978-3-540-44781-8
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