Feature-based detection using Bayesian data fusion-Reference-Cited by-同舟云学术

Feature-based detection using Bayesian data fusion

Published:2013-12 Issue:4 Volume:4 Page:308-323
ISSN:1947-9832
Container-title:International Journal of Image and Data Fusion
language:en
Short-container-title:International Journal of Image and Data Fusion

Author:

Akiwowo Ayodeji,Eftekhari Mahroo

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications

Link

http://www.tandfonline.com/doi/pdf/10.1080/19479832.2013.824029

Reference19 articles.

1. Bedworth, M. and O'Brien, J., 1999. The Omnibus Model: A New Model of Data Fusion?In:2nd International Conference on Information Fusion.Sunnyvale, 1999.

2. Erhard, A. and McGalliard, S., 2011. Advaces in military multi-sensor data fusion technology and applications for civilian use.In:University of Pittsburgh Swanson School of Engineering Eleventh Annual Freshman Conference, Pittsburgh, 9 April 2011.

3. Detection of Smuggled Cocaine in Cargo Using MDCT

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A data–information–knowledge cycle for modeling driving behavior;Transportation Research Part F: Traffic Psychology and Behaviour;2022-02

2. A modified sensor fusion framework for quantifying and removing the effect of harsh environmental condition for reliable mobile robot mapping;Sensor Review;2019-07-15

3. Development of an efficient laser grid mapping technique: P-SLAM;International Journal of Image and Data Fusion;2019-06-04

4. Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery;Geocarto International;2016-08-02

5. Multipolarimetric SAR image change detection based on multiscale feature-level fusion;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2015-06-26