Algorithm fusion for a land-based warning system to enhance detection and tracking performance

Yong Woon Park; Boo Whan Lee; Jun Sung Park; Do-Jong Kim

doi:10.1117/12.478533

7 August 2002 Algorithm fusion for a land-based warning system to enhance detection and tracking performance

Yong Woon Park, Boo Whan Lee, Jun Sung Park, Do-Jong Kim

Proceedings Volume 4728, Signal and Data Processing of Small Targets 2002; (2002) https://doi.org/10.1117/12.478533
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

An algorithm fusion approach is presented to detect a short range target in the land environments with heavy clutters. There has been fundamental problems in extracting the small target from cluttered IR images in a land-based IR Sensor. One of the causes is that we do not have sufficient time to make a decision. In addition, high false alarm and low detection rate make it more difficult to track consecutively without disconnection. It is also found that the target occupies 5 to 7 pixels or more ones in sometimes when it approaches to the counter decision range. When the target is maneuvering the classical matched filter with Gaussian- shaped target assumption generates more false alarm and make it more difficult to track precisely. In order to overcome some of the difficulties, we combined two algorithms. One is the morphological nonlinear filter which is sensitive to the size of the target. The other is the classical matched filter applied to some of the clustered objects. One of the advantages of using morphological filter is that it requires less calculation time than the classical matched filter. It also provides more effective clues when the target is passing the decision range with predetermined target size. In order to reduce the false detection, two dimensional structuring elements are separated to one dimensional elements and applied opening minus closing operation to remove the longitudinal and lateral line objects abundant in the land background. In addition, real time calculation of matched filter based on the object clustering is proposed to implement in real system.

Citation Download Citation

Yong Woon Park, Boo Whan Lee, Jun Sung Park, and Do-Jong Kim "Algorithm fusion for a land-based warning system to enhance detection and tracking performance", Proc. SPIE 4728, Signal and Data Processing of Small Targets 2002, (7 August 2002); https://doi.org/10.1117/12.478533

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Detection and tracking algorithms

Target detection

Image filtering

Electronic filtering

Image processing

Nonlinear filtering

Image fusion

Show All Keywords

Keywords/Phrases

Search In:

Publication Years