Open AccessAutomatic extraction of ground control regions and orthorectification of remote sensing imagery
Author(s) -
Cheng Chien Liu,
Po Li Chen
Publication year - 2009
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.17.007970
Subject(s) - orthophoto , remote sensing , computer science , image resolution , image processing , pixel , ground sample distance , computer vision , artificial intelligence , extraction (chemistry) , matching (statistics) , image (mathematics) , geology , mathematics , statistics , chemistry , chromatography
We develop a fast and accurate method that is able to automatically select and match a large amount of ground control regions (GCRs) for orthorectifying remote sensing imagery. This new method is comprised of four modules, namely automatic extraction of GCRs, fast image-to-image matching, iterating and filtering of GCRs, and rigorous orthorectification. We assess the accuracy of this new method by processing the high-temporal- and high-spatial-resolution Formosat-2 imagery. Results show that the accurate orthoimage with a root mean square error of less than 1.5 pixels can be automatically generated from one standard Formosat-2 image (covering 12 km x 12 km) in 55 minutes. This new method has been incorporated into the Formosat-2 automatic image processing system and has been used to produce orthoimages on a daily-basis.