The AdaBoost classification of land-mine target with adaptive feature selection

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, Volume 33, Issue 8, 2011, Pages 1798-1802.

Cited by: 1|Views3
WOS SCOPUS

Abstract:

In order to solve the land-mine classification problem on a Forward-Looking Ground Penetrating Virtual Aperture Radar (FLGPVAR), a new classification algorithm composed of weak classification iteration and adaptive feature selection is proposed. It is based on traditional AdaBoost algorithm, the feature selection is part of weak classific...More

Code:

Data:

Get fulltext within 24h
Bibtex
Upload PDF

1.Your uploaded documents will be check within 24h, and coins will be credited to your account.

2.As the current system does not support cash withdrawal, you can add staff WeChat (AMxiaomai) to receive it as a red packet.

3.10 coins will be exchanged for 1 yuan.

?

Upload a single paper

for 5 coins

Wechat's Red Packet
?

Upload 50 articles

for 250 coins

Wechat's Red Packet
?

Upload 200 articles

for 1000 coins

Wechat's Red Packet
?

Upload 500 articles

for 2500 coins

Wechat's Red Packet
?

Upload 1000 articles

for 5000 coins

Wechat's Red Packet
Your rating :
0

 

Tags
Comments