2008
DOI: 10.1117/12.785152
|View full text |Cite
|
Sign up to set email alerts
|

Simulation of a new 3D imaging sensor for identifying difficult military targets

Abstract: This paper reports the successful application of automatic target recognition and identification (ATR/I) algorithms to simulated 3D imagery of 'difficult' military targets. QinetiQ and Selex S&AS are engaged in a joint programme to build a new 3D laser imaging sensor for UK MOD. The sensor is a 3D flash system giving an image containing range and intensity information suitable for targeting operations from fast jet platforms, and is currently being integrated with an ATR/I suite for demonstration and testing.T… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2011
2011
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 1 publication
0
2
0
Order By: Relevance
“…The quality of the imagery may also be degraded through image blurring effects as can occur if a camera stabiliser fails (Figure 3). Although image blur can be reduced using image restoration processing [11], the image quality is still compromised.…”
Section: Testing Recording and Truth Datamentioning
confidence: 99%
“…The quality of the imagery may also be degraded through image blurring effects as can occur if a camera stabiliser fails (Figure 3). Although image blur can be reduced using image restoration processing [11], the image quality is still compromised.…”
Section: Testing Recording and Truth Datamentioning
confidence: 99%
“…This simulation program is commercially available, but unfortunately, the ladar module (which was scheduled to be working a couple of years ago) seems to be postponed. Sources indicated further progress of their burst illumination (BIL) simulation, and in April 2008 they presented 3D imaging sensor simulation based on CameoSim (Harvey, 2008).…”
Section: Related Workmentioning
confidence: 99%