Design of a SIFT based Target Classification Algorithm robust to Geometric Transformation of Target

2010 ◽  
Vol 20 (1) ◽  
pp. 116-122 ◽  
Author(s):  
Hee-Yul Lee ◽  
Jong-Hwan Kim ◽  
Se-Yun Kim ◽  
Byung-Jae Choi ◽  
Sang-Ho Moon ◽  
...  
Keyword(s):  
Classification Algorithm ◽  
Geometric Transformation ◽  
Target Classification

An Improved Joint Target Tracking and Classification Algorithm Based on Data Fusion

2014 ◽  
Vol 904 ◽  
pp. 325-329
Author(s):  
Hong Wei Quan ◽  
Lin Chen ◽  
Dong Liang Peng
Keyword(s):  
Data Fusion ◽  
Target Tracking ◽  
Classification Algorithm ◽  
Target Classification ◽  
Tracking Accuracy ◽  
Traditional Methods ◽  
System Models ◽  
Target State ◽  
Classification Probability

This paper addresses the problem of the joint target tracking and classification based on data fusion. In traditional methods, a separate suite of sensors and system models are used, target tracking and target classification are usually treated as separate problems. In our JTC framework, the link between target state and class is considered and the feasibility of JTC techniques is discussed. The tracking accuracy and classification probability are improved to some extent with the more accurate classification results from classifier based on data fusion feedback to state filter.

scholarly journals Ground Target Classification Algorithm based on Multi-Sensor Images

2012 ◽  
Vol 15 (2) ◽  
pp. 195-203
Author(s):  
Eun-Young Lee ◽  
Eun-Hye Gu ◽  
Hee-Yul Lee ◽  
Woong-Ho Cho ◽  
Kil-Houm Park
Keyword(s):  
Classification Algorithm ◽  
Target Classification ◽  
Ground Target

Multimorphological top-hat-based multiscale target classification algorithm for real-time image processing

2019 ◽  
Vol 58 (22) ◽  
pp. 6045
Author(s):  
Zhenzhen Chen ◽  
Fei Xing ◽  
Zheng You ◽  
Minsong Wei ◽  
Haiyang Zhan
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Classification Algorithm ◽  
Target Classification ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Time Image

scholarly journals An Echo Sequence Profile Image Based Ship Target Classification Algorithm for Low-Resolution Radar

2021 ◽  
Vol 2068 (1) ◽  
pp. 012011
Author(s):  
Duoduo Hang ◽  
Ji Zhang ◽  
Chuanwen Chang ◽  
Wei Zhu ◽  
Beibei Wu ◽  
...  
Keyword(s):  
Image Data ◽  
Real Data ◽  
Pso Algorithm ◽  
Classification Algorithm ◽  
Support Vector ◽  
Grid Search ◽  
Target Classification ◽  
Low Resolution ◽  
Sequence Profile ◽  
Swarm Optimization

Abstract Ship target classification is of great significance in both military and civilian fields. We propose a ship target classification algorithm for low-resolution radars with echo sequence profile images. This algorithm can be realized in the following steps. First, we collect radar profile image data. We use five perspectives of a radar target, including target shape, Radar Cross Section (RCS), echo amplitude, motion attribute, and features of two-dimensional grayscale maps, to extract eight-dimensional feature vectors. The proposed algorithm uses the Support Vector Machine (SVM) as the classifier, and the parameters of the classifier are optimized by either grid search or the Particle Swarm Optimization (PSO) algorithm. The proposed algorithm is verified through real data classification tests.

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