Title :
Image registration using AutoLandmark
Author :
Madani, Houria ; Carr, James L. ; Schoeser, Cathya
Author_Institution :
Carr Astronaut., Washington, DC
Abstract :
AutoLandmark is a fully automated image registration technique capable of performing real time landmark registration. It´s based on a correlation algorithm used to match the shoreline of a measured landmark to the corresponding shoreline extracted from a digital map. A cloud detection process implemented in AutoLandmark identifies cloudy pixels to avoid erroneous measurements from cloudy scenes. The validity of a measurement obtained with Autolandmark is determined by a quality metric (QM) which is calculated using several factors including the goodness-of-fit of the matching algorithm, scene cloudiness, and scene contrast. AutoLandmark is implemented in the Replacement Product Monitor (RPM) for landmark registration of the Geostationary Operational Environmental Satellite (GOES) imagery with subpixel accuracy. The RPM is part of the GOES Spacecraft Ground System and has been operational since 2001, producing more than a thousand daily landmark measurements
Keywords :
atmospheric techniques; clouds; fuzzy logic; geophysical signal processing; image matching; image registration; storms; terrain mapping; weather forecasting; AutoLandmark; GOES Spacecraft Ground System; GOES imagery; Geostationary Operational Environmental Satellite; Replacement Product Monitor; automatic image registration technique; cloud detection process; cloud mask; cloudy pixels; cloudy scenes; correlation algorithm; digital map; fuzzy logic; image matching; landmark measurements; landmark shoreline; quality metric; real time landmark registration; shoreline extraction; Clouds; Extraterrestrial measurements; Fuzzy logic; Image databases; Image edge detection; Image registration; Layout; Monitoring; Satellites; Space vehicles;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369945