Title :
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
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;
Conference_Titel :
Mathematical Methods in Electromagnetic Theory, 1996., 6th International Conference on
Conference_Location :
Lviv
Print_ISBN :
0-7803-3291-1
DOI :
10.1109/MMET.1996.565765