Boosting a wavelet packet transform based landmine detector

Yijun Sun; Jian Li

doi:10.1117/12.541797

21 September 2004 Boosting a wavelet packet transform based landmine detector

Yijun Sun, Jian Li

Proceedings Volume 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX; (2004) https://doi.org/10.1117/12.541797
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

We consider landmine detection using forward-looking ground penetrating radar (FLGPR), which is quite challenging due to the weak signal returns of landmines. The two main challenging tasks include extracting intricate structures of the target signals from the radar imagery and adapting the classifier to the surrounding environment through learning. Through the time-frequency analysis, we find that the most discriminant information is time-frequency localized. This observation motivates us to use the wavelet packet transform to sparsely represent the signals with the discriminant information encoded into several bases. Then the sequential floating forward selection method is used to extract these components and thereby a neural network classifier is designed. To further improve the classification performance, the AdaBoost algorithm is used. We modify the original AdaBoost algorithm to integrate the feature selection process into each iteration. Experimental results based on measured FLGPR data are presented, showing that with the proposed classifier, a significant improvement on both the training and the testing performances can be achieved.

Citation Download Citation

Yijun Sun and Jian Li "Boosting a wavelet packet transform based landmine detector", Proc. SPIE 5415, Detection and Remediation Technologies for Mines and Minelike Targets IX, (21 September 2004); https://doi.org/10.1117/12.541797

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