IMAGE REGISTRATION OF HIGH-RESOLUTION UAV DATA: THE NEW HYPARE ALGORITHM

被引：0

作者：

Bahr, T. ^{[1
]}

Jin, X. ^{[2
]}

Lasica, R. ^{[2
]}

Giessel, D. ^{[3
]}

机构：

[1] Exelis Visual Informat Solut GmbH, Gilching, Germany

[2] Exelis Visual Informat Solut, Boulder, CO USA

[3] Aeryon Labs Inc, Waterloo, ON, Canada

来源：

UAV-G2013 | 2013年

关键词：

Image Registration; UAV; Optical Data; Automation; HyPARE; Algorithm;

D O I：

暂无

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

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 (TM) camera on an Aeryon Scout micro-UAV (TM).

引用

页码：17 / 19

页数：3