Title :
Georegistration of Earth Observing-1 (EO-1) data using Global Land Survey (GLS) maps
Author :
Le Moigne, Jacqueline ; Sazama, Patricia ; Swanson, Stephen ; Vuong Ly ; Mandl, Daniel
Author_Institution :
Software Eng. Div., NASA Goddard Space Flight Center, Greenbelt, MD, USA
Abstract :
The method presented in this paper utilizes Global Land Survey (GLS) maps to register Earth Observing-1 (EO-1) data, either using entire scenes or utilizing chips extracted from the GLS maps. The automated registration algorithm is based on the optimization of wavelet or wavelet-like features extracted from both reference and input image data. After testing the method on several ALI scenes, results and conclusions are presented.
Keywords :
feature extraction; geophysical image processing; image registration; terrain mapping; wavelet transforms; ALI scene; EO-1 data georegistration; Earth Observing-1; GLS maps; Global Land Survey maps; automated registration algorithm; chip extraction; feature optimization; input image data; reference image data; wavelet-like feature extraction; Accuracy; Databases; Earth; Feature extraction; Image registration; Remote sensing; Satellites; Earth Observing-1; Georegistration; Global Land Survey (GLS); wavelet features;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946985