Terminal Aimpoint Selection Algorithm Based on Convex Hull Technique

Xuan Wang; Jia Hao Deng; Gui Yan Kou

doi:10.4028/www.scientific.net/AMM.667.264

Paper Titles

Speech Coding Based on Compressed Sensing and Sparse Representation
p.242

Static Gesture Recognition Based on RGB-D Depth Information
p.248

A Calculating Method for Adaptive Human Shadows Moving Target Detection Algorithm
p.255

Research on Feature Extraction and Optimization of Cashmere and Wool Fiber Based on Digital Image
p.260

Terminal Aimpoint Selection Algorithm Based on Convex Hull Technique
p.264

Stochastic Resonance in a Complex Nonlinear System Driven by Complex Periodic Signal and Noise
p.269

A Forecasting Research on Population Size of Jilin Province Based on Grey GM (1,1) Model
p.273

A Tag-Based Improved LDA and Web Page Clustering Analysis
p.277

Applied Research of Weighted K-Means Algorithm in Social Networks
p.286

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 667Terminal Aimpoint Selection Algorithm Based on...

Terminal Aimpoint Selection Algorithm Based on Convex Hull Technique

Abstract:

A terminal aimpoint selection algorithm is proposed in this paper for selecting the aimpoint precisely in real time. This approach avoids complicated and time-consuming pattern matching or boundary extraction. Through the image preprocessing and corner detection, the convex hull technique is utilized to cover the target area based on Computation Geometry, where centriod of the convex hull is defined as the aimpoint of the target. The proposed algorithm promotes intelligence, efficiency and accuracy of navigation guidance systems, which is proved in the simulation.

You might also be interested in these eBooks

Advances in Computers, Electronics and Mechatronics

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 667)

Pages:

264-268

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.667.264

Citation:

Cite this paper

Online since:

October 2014

Authors:

Xuan Wang*, Jia Hao Deng, Gui Yan Kou

Keywords:

Aimpoint Selection, Convex Hull, Navigation Guidance, Target Identification

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Li Z Y, Jin F, Sun Z K. Target tracking and aimpoint selection in homing stage. Aerospace and Electronics Conference, 1990. 293∼296.

DOI: 10.1109/naecon.1990.112783

Google Scholar

[2] Mahalanobis A. Correlation filters for object tracking target re-acquisition and smart aimpoint selection. SPIE journal, 2014, Vol. 3073: 25∼32.

Google Scholar

[3] Clarke J R P A. Airborne Target Feature Extraction And Tracking For Gate Size Maintenance And Terminal Aimpoint Determination. Application of Digital Image Processing VII, 1984, Vol. 504: 243∼250.

DOI: 10.1117/12.944868

Google Scholar

[4] Weiping Y, Zhiyong L, Zhenkang S. Recognizing and tracking airport runway target in infrared images. Aerospace and Electronics Conference, 1997. 1045∼1051.

DOI: 10.1109/naecon.1997.622776

Google Scholar

[5] Li L. A new method to select aimpoint for airplane target at end term. Automatic Target Recognition and Navigation, 2013, Vol. 8918.

DOI: 10.1117/12.2031357

Google Scholar

[6] Computational Geometry Algorithm Design and Analysis. third ed. Beijing, (2008).

Google Scholar