DocumentCode
1510491
Title
Georegistration of airborne hyperspectral image data
Author
Lee, Changno ; Bethel, James
Author_Institution
Sch. of Civil Eng., Purdue Univ., West Lafayette, IN, USA
Volume
39
Issue
7
fYear
2001
fDate
7/1/2001 12:00:00 AM
Firstpage
1347
Lastpage
1351
Abstract
A suite of geometric sensor and platform modeling tools has been developed which have achieved consistent subpixel accuracy in orthorectification experiments. Aircraft platforms in turbulent atmospheric conditions present unique challenges and have required creative modeling approaches. The geometric relationship between an image point and a ground object has been modeled by rigorous photogrammetric methods. First and second order Gauss-Markov processes have been used to estimate the platform trajectory. These methods have been successfully applied to HYDICE and HyMap data sets. The most important contributors to the subpixel rectification accuracy have been the first order Gauss-Markov model with control linear features
Keywords
geophysical signal processing; geophysical techniques; image registration; multidimensional signal processing; photogrammetry; remote sensing; terrain mapping; Gauss-Markov process; HYDICE; HyMap; accuracy; airborne hyperspectral method; control linear features; first order Gauss-Markov model; geometric sensor; geophysical measurement technique; georegistration; image processing; image registration; land surface; multispectral remote sensing; orthorectification; photogrammetry; platform modeling tool; remote sensing; subpixel rectification; terrain mapping; turbulent atmospheric conditions; Aircraft; Atmospheric modeling; Data analysis; Gaussian processes; Global Positioning System; Hyperspectral imaging; Hyperspectral sensors; Image sensors; Solid modeling; Two dimensional displays;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.934067
Filename
934067
Link To Document