A modified Algorithm for Multi-Target Detection in Hyperspectral Image

被引：4

作者：

Yin, Jihao ^{[1
]}

Wang, Yan ^{[1
]}

Wang, Yisong ^{[1
]}

Zhao, Zhanjie ^{[2
]}

机构：

[1] Beijing Univ Aeronaut & Astronaut, Beijing, Peoples R China

[2] Chinese Acad Surveying & Mapping, Beijing, Peoples R China

来源：

2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 3 | 2010年

关键词：

modified correlation matrix; multi-target detection; winner-take-all CEM; ORTHOGONAL SUBSPACE PROJECTION;

D O I：

10.1109/CAR.2010.5456639

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the area of hyperspectral image detection, Constrained Energy Minimization (CEM) algorithm has received considerable interest recently. However, it is very sensitive to noise and can only detect one target at one time. In order to solve this problem, Winner-Take-All Constrained Energy Minimization (WTACEM) was proposed. Based on it, we propose a modified multi-target detection approach. We study the sample correlation matrix and find if we exclude the desired target pixel vectors from the correlation matrix, we can achieve better results. The simulation results indicate that the errors caused by the modified WTACEM have decreased obviously and the output is more close to the true abundance fraction. The experiment also shows that when the abundance fraction of target increases, the detection performance improves.

引用

页码：105 / 108

页数：4

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