A Robust Image Sequence Registration Algorithm for Videosar Combining Surf with Inter-Frame Processing

2019 ◽  
Author(s):  
Zihan Li ◽  
Zhen Dong ◽  
Anxi Yu ◽  
Zhihua He ◽  
Xiaoxiang Zhu
Keyword(s):  
Image Sequence ◽  
Registration Algorithm ◽  
Robust Image ◽  
Frame Processing ◽  
Inter Frame

Robust Image Sequence Mosaicing

2003 ◽  
pp. 386-393 ◽  
Author(s):  
Birgit Möller ◽  
Denis Williams ◽  
Stefan Posch
Keyword(s):  
Image Sequence ◽  
Robust Image

A Robust Image Registration Algorithm Based on Feature Points Matching

2008 ◽  
Vol 28 (3) ◽  
pp. 454-461 ◽  
Author(s):  
刘贵喜 Liu Guixi ◽  
刘冬梅 Liu Dongmei ◽  
刘凤鹏 Liu Fengpeng ◽  
周亚平 Zhou Yaping
Keyword(s):  
Image Registration ◽  
Feature Points ◽  
Registration Algorithm ◽  
Feature Points Matching ◽  
Image Registration Algorithm ◽  
Robust Image

Dynamic Key-Frame Based Airborne Scene Matching Vision Navigation

2011 ◽  
Author(s):  
Yaojun Li ◽  
Quan Pan ◽  
Chunhui Zhao ◽  
Feng Yang ◽  
Yongmei Cheng
Keyword(s):  
Image Sequence ◽  
Visual Navigation ◽  
Vision Navigation ◽  
Matching Algorithm ◽  
Scene Matching ◽  
Key Frame ◽  
Dynamic Key ◽  
Inter Frame ◽  
Navigation Method ◽  
Navigation Scheme

In order to develop a backup navigation scheme for allowing temporally GPS faults or degradations, this paper proposes a dynamic key-frame-based natural-landmark scene matching visual navigation method for UAV. Firstly, this method could autonomously describe and check featured natural landmarks by analyzing image sequence from on-board camera. Secondly, After abstraction of key-frames including featured natural landmark, UAV will be located by the means of NLSM (Natural-Landmark Scene Matching) which based on dynamic key-frame. Thirdly, this navigation scheme adopt inter-frame scene matching algorithm in order to improving the navigation performance of accuracy, reliability and runtime. Experiments show that the vision navigation scheme proposed fits the requirements of navigation in complex and unknown environment for UAV.

Inter-frame vertex selection scheme for object-based image sequence coder

1999 ◽  
Vol 45 (3) ◽  
pp. 835-841 ◽  
Author(s):  
Jong-Yeul Suh ◽  
Kyeong Joong Kim ◽  
Moon Gi Kang
Keyword(s):  
Image Sequence ◽  
Selection Scheme ◽  
Object Based ◽  
Inter Frame

An Automatic Robust Image Registration Algorithm for Aerial Mapping

2015 ◽  
Vol 15 (02) ◽  
pp. 1540002 ◽  
Author(s):  
Mohammad Saleh Javadi ◽  
Zulaikha Kadim ◽  
Hon Hock Woon ◽  
Khairunnisa Mohamed Johari ◽  
Norshuhada Samudin
Keyword(s):  
Image Registration ◽  
Unmanned Aerial Vehicles ◽  
Aerial Photograph ◽  
Satellite Images ◽  
Aerial Image ◽  
Registration Algorithm ◽  
Aerial Vehicles ◽  
Image Registration Algorithm ◽  
Aerial Mapping ◽  
Robust Image

Aerial mapping is attracting more attention due to the development in unmanned aerial vehicles (UAVs) and their availability and also vast applications that require a wide aerial photograph of a region in a specific time. The cross-modality as well as translation, rotation, scale change and illumination are the main challenges in aerial image registration. This paper concentrates on an algorithm for aerial image registration to overcome the aforementioned issues. The proposed method is able to sample automatically and align the sensed images to form the final map. The results are compared with satellite images that shows a reasonable performance with geometrically correct registration.

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