An optimum interpolation method applied to the resampling of NOAA AVHRR data
- Remote Sensing Unit, Valencia (Spain)
Two main problems must be solved in the geometric processing of satellite data: geometric registration and resampling. When the data must be geometrically registered over a reference map, and particularly when the output pixel size is not the same as the original pixel size, the quality of the resampling can determine the quality of the output, not only in the visual appearance of the image, but also in the numerically interpolated values when used in multitemporal or multisensor studies. The optimum'' interpolation algorithm for AVHRR data is defined over a 6 x 6 window in order to consider overlapping effects among adjacent pixels. The optimum method, as mathematically defined, is highly expensive in CPU time. Then, a big effort is necessary to implement the algorithms so that they could be operationally applied. Two approaches are considered: a general numerical method (assuming a realistic spatial response for function) and a pseudo-analytical approximation (assuming a simplified Gaussian pulse as spatial response function). The analytical method requires only 2% of the CPU-time required by the fully numerical approach. Some examples are given by comparing the optimum interpolation technique with some other traditional methods. A Landsat TM image corresponding to the same date of the AVHRR image is used to test the quality of the radiometric interpolation procedure. The main advantage of the optimum interpolation is given by the fact that the resulting interpolated image loses the memory'' of the original pixel spacing in the image, which is not true for classical interpolation approaches.
- OSTI ID:
- 7226468
- Journal Information:
- IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States), Vol. 32:1; ISSN 0196-2892
- Country of Publication:
- United States
- Language:
- English
Similar Records
Study of atmospheric and bidirectional effects on surface reflectance and vegetation index time series: Application to NOAA AVHRR and preparation for future space missions. Final report
Application of principal component analysis and information fusion technique to detect hotspots in NOAA/AVHRR images of Jharia coalfield, India - article no. 013523
Related Subjects
58 GEOSCIENCES
EARTH PLANET
REMOTE SENSING
RADIOMETERS
IMAGE PROCESSING
ALGORITHMS
DATA ANALYSIS
SAMPLING
SATELLITES
MATHEMATICAL LOGIC
MEASURING INSTRUMENTS
PLANETS
PROCESSING
RADIATION DETECTORS
540210* - Environment
Terrestrial- Basic Studies- (1990-)
540110
540310 - Environment
Aquatic- Basic Studies- (1990-)
580000 - Geosciences