Adaptive interpolation algorithm for transformation functions in image processing

Author

Vorobel, Roman ; Opyr, Nataliya

Author_Institution

Karpenko Physico-Mech. Inst., Acad. of Sci., Lvov, Ukraine

fYear

1996

fDate

10-13 Sep 1996

Firstpage

476

Lastpage

480

Abstract

The remotely-sensed images obtained from the satellites are widely used for study of the land, ocean, atmosphere etc. The use of remotely-sensed data, which are inherently digital, demands a degree of mathematical and statistical skill plus familiarity with digital computers. The sensors mounted on-board aircraft and satellites have to be capable of detecting radiance level ranging from low (for example, over oceans) to very high (for example, over snow or ice). For any particular area that is being imaged it is unlikely that the full dynamic range of the sensor will be used

Keywords

image processing; image sensors; interpolation; inverse problems; physics computing; remote sensing; statistical analysis; adaptive interpolation algorithm; atmosphere; digital computers; digital image processing; full dynamic range; image processing; inherently digital; interpolation; inverse problems; land; ocean; on-board aircraft mounted sensors; remote sensing; remotely-sensed data; remotely-sensed images; satellites; statistical skill; transformation functions; Aircraft; Atmosphere; Dynamic range; Ice; Image sensors; Interpolation; Oceans; Remote sensing; Satellites; Snow;

fLanguage

English

Publisher

ieee

Conference_Titel

Mathematical Methods in Electromagnetic Theory, 1996., 6th International Conference on

Conference_Location

Lviv

Print_ISBN

0-7803-3291-1

Type

conf

DOI

10.1109/MMET.1996.565765

Filename

565765