Automatic Orthorectification of High-Resolution Optical Satellite Images Using Vector Roads

This paper presents a completely automatic processing chain for orthorectification of optical pushbroom sensors. The procedure is robust and works without manual intervention from raw satellite image to orthoimage. It is modularly divided in four main steps: metadata extraction, automatic ground con...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2015-11, Vol.53 (11), p.6035-6047
Hauptverfasser:	Marsetic, Ales, Ostir, Kristof, Fras, Mojca Kosmatin
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Automatic orthorectification Data mining general physical geometric model ground control point (GCP) extraction Mathematical model optical imagery Optical sensors random sample consensus (RANSAC) RapidEye Roads robust estimation Satellites
Online-Zugang:	Volltext
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