A Method of Waypoint Selection in Aerial Images for Vision Navigation
Joint Authors
Song, Lin
Cheng, Yong-mei
Yu, Lu
Yu, Liang
Source
International Journal of Optics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-08
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We present a novel method to select waypoints from aerial images of candidate flying regions via matching suitability analysis, which is based on visual attention mechanism and feature attribute classification.
At first, visual attention mechanism is used to get the saliency map of the initial image by low-rank recovery and sparse coding.
The salient regions are selected to be as preparatory results with threshold constraint and nonmaxima suppression.
Then we use support vector machine (SVM) to divide the preparatory results into two classes for suitable or unsuitable waypoints based on their feature attributes, which can be represented by two edge-based descriptors and two correlation-based descriptors.
The experimental results show that the proposed method is valid and effective.
American Psychological Association (APA)
Song, Lin& Cheng, Yong-mei& Yu, Lu& Yu, Liang. 2014. A Method of Waypoint Selection in Aerial Images for Vision Navigation. International Journal of Optics،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1036757
Modern Language Association (MLA)
Song, Lin…[et al.]. A Method of Waypoint Selection in Aerial Images for Vision Navigation. International Journal of Optics No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1036757
American Medical Association (AMA)
Song, Lin& Cheng, Yong-mei& Yu, Lu& Yu, Liang. A Method of Waypoint Selection in Aerial Images for Vision Navigation. International Journal of Optics. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1036757
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036757