Proceedings of the 2014 International Conference on Computer Science and Electronic Technology

sift points for screening based on random forest in ins/sar system

Authors
Hao Dou, ShaoJun Li, Xiao Sun, Tian Tian, ShuiPing Zhang, DeLie Ming
Corresponding Author
Hao Dou
Available Online January 2015.
DOI
https://doi.org/10.2991/iccset-14.2015.76How to use a DOI?
Keywords
machine learning, matching point, random forest
Abstract

The paper adopts machine learning framework to analyze matching suitability of SIFT match points in INS/SAR integrated navigation system. The paper adopts machine learning framework to analyze matching suitability of SIFT match points in INS/SAR integrated navigation system. It aims to select the matching points for the feature matching steps in the SIFT algorithm. So as to improve the proportion of the correct matching points and then reduce the time-consuming of the RANSAC algorithm. This paper first extract the adaption features of the matching points. including the nearest distance, nearest and second nearest distance, the scale and so on, and models the constructing classifier using the random forest to complete the prediction of the unknown matching points.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
978-94-62520-47-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccset-14.2015.76How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hao Dou
AU  - ShaoJun Li
AU  - Xiao Sun
AU  - Tian Tian
AU  - ShuiPing Zhang
AU  - DeLie Ming
PY  - 2015/01
DA  - 2015/01
TI  - sift points for screening based on random forest in ins/sar system
BT  - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 343
EP  - 346
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccset-14.2015.76
DO  - https://doi.org/10.2991/iccset-14.2015.76
ID  - Dou2015/01
ER  -