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Image Registration of High-resolution Uav Data: the New Hypare Algorithm : Volume Xl-1/W2, Issue 1 (16/08/2013)

By Bahr, T.

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Book Id: WPLBN0004014388
Format Type: PDF Article :
File Size: Pages 3
Reproduction Date: 2015

Title: Image Registration of High-resolution Uav Data: the New Hypare Algorithm : Volume Xl-1/W2, Issue 1 (16/08/2013)  
Author: Bahr, T.
Volume: Vol. XL-1/W2, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection, Copernicus Publications
Publication Date:
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications


APA MLA Chicago

Giessel, D., Bahr, T., Lasica, R., & Jin, X. (2013). Image Registration of High-resolution Uav Data: the New Hypare Algorithm : Volume Xl-1/W2, Issue 1 (16/08/2013). Retrieved from

Description: Exelis Visual Information Solutions GmbH, Gilching, Germany. Unmanned aerial vehicles play an important role in the present-day civilian and military intelligence. Equipped with a variety of sensors, such as SAR imaging modes, E/O- and IR sensor technology, they are due to their agility suitable for many applications. Hence, the necessity arises to use fusion technologies and to develop them continuously. Here an exact image-to-image registration is essential. It serves as the basis for important image processing operations such as georeferencing, change detection, and data fusion. Therefore we developed the Hybrid Powered Auto-Registration Engine (HyPARE). HyPARE combines all available spatial reference information with a number of image registration approaches to improve the accuracy, performance, and automation of tie point generation and image registration. We demonstrate this approach by the registration of 39 still images from a high-resolution image stream, acquired with a Aeryon Photo3S™ camera on an Aeryon Scout micro-UAV™.



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