Paper Info
Title
An application of genetic algorithms to the geometric correction of HypSEO hyperspectral data
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).
Year
DOI
Venue
2002
10.1109/IGARSS.2002.1027231
IGARSS
Keywords
Field
DocType
genetic algorithms,geophysical signal processing,remote sensing,hypseo hyperspectral data,attitude data,coregistration,detector offset,detector orientation,focal plane,geolocation,geometric correction,geometric distortions,ground control points,optimization,orbital data,polynomials,raw images,reference channel,satellite geometric model,solid modeling,genetic algorithm,satellites,mathematical model,yttrium,hyperspectral sensors,hyperspectral imaging,detectors,geometric model
Computer vision,Polynomial,Computer science,Cardinal point,Remote sensing,Geometric modeling,Communication channel,Hyperspectral imaging,Artificial intelligence,Detector,Genetic algorithm,Offset (computer science)
Conference
Volume
ISBN
Citations 
6
0-7803-7536-X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
p g esposito191.94
Bartoloni, A.200.34