Aircraft Recognition Based on Mixed Moment Algorithm

WU Dong-hua; XIA Hong-shan; XU Bo

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Aircraft Recognition Based on Mixed Moment Algorithm

更新时间：2026-09-04

- Aircraft Recognition Based on Mixed Moment Algorithm
- Vol. 28, Issue 10, Pages: 188-193(2011)
- 作者机构：
  
  1. 1 南京航空航天大学民航学院,江苏,南京,210016
  2. 2 南京林业大学机构网络中心,江苏,南京,210037
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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吴东华, 夏洪山, 徐波. 基于混合矩特征提取的飞机图像识别[J]. 微电子学与计算机, 2011, 28(10): 188-193.

WU Dong-hua, XIA Hong-shan, XU Bo. Aircraft Recognition Based on Mixed Moment Algorithm[J]. 2011, 28(10): 188-193.
吴东华, 夏洪山, 徐波. 基于混合矩特征提取的飞机图像识别[J]. 微电子学与计算机, 2011, 28(10): 188-193. DOI：

WU Dong-hua, XIA Hong-shan, XU Bo. Aircraft Recognition Based on Mixed Moment Algorithm[J]. 2011, 28(10): 188-193. DOI：

摘要

提出了一种新的基于图像区域纹理混合矩特征的飞机识别算法.该算法基于一阶直方图的颜色矩特征和基于灰度共生矩阵提取区域图像相关性、角二阶矩、对比度、相关性、倒数差分矩特征

实现有效降维

并采用聚类分析方法对飞机图像进行识别

实验结果显示基于该特征提取的识别方法识别正确率达95%以上

通过对比试验说明

该算法有较好的识别性能.

Abstract

A new method based on mixed moment and clustering algorithm for aircraft recognition was proposed.The method extract the texture color features and four image texture characteristics: contrast

correlation

ASM

IDF from the aircraft images

decreasing the data dimensions

classifying the feature data set by K-means and BSAS

identifying correctly the aircraft location.According to the comparing experiment

the method can automatically identify aircraft location rapidly and effectively.

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