An application of genetic algorithms to the geometric correction of HypSEO hyperspectral data

Author

Esposito, P.G. ; Bartoloni, A.

Author_Institution

Telespazio SpA, Rome, Italy

Volume

6

fYear

2002

fDate

24-28 June 2002

Firstpage

3507

Abstract

The proposed paper describes a method to correct geometric distortions of raw images based on the optimization of a satellite geometric model. The geometric model depends on a wide set of parameters such as detector offset and orientation in the focal plane and coefficients of the polynomials fitting orbital and attitude data. The optimization of the model is achieved in two steps: at first, images obtained by different channels in the focal plane are coregistered with respect to each other. Then, the image of a reference channel is geolocated with the aid of ground control points (GCP).

Keywords

genetic algorithms; geophysical signal processing; remote sensing; HypSEO hyperspectral data; attitude data; coregistration; detector offset; detector orientation; focal plane; genetic algorithms; geolocation; geometric correction; geometric distortions; ground control points; optimization; orbital data; polynomials; raw images; reference channel; satellite geometric model; Detectors; Genetic algorithms; Hyperspectral imaging; Hyperspectral sensors; Instruments; Mathematical model; Polynomials; Satellites; Solid modeling; Yttrium;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1027231

Filename

1027231