Earticle

초록

영어

In order to detect objects which may have features of different sizes and directions from satellite map, some bounding boxes which surround these objects are obtained, and convolve with multi-parameters Gabor wavelet to get multi-direction Gabor amplitudes. By computing the average of these Gabor amplitudes, the local texture features of bounding box can obtain, which are direction-invariant. By using histogram algorithm, these Gabor averages are projected onto a given base (some interval divisions) to get different projection coefficients, which can be combined into a feature vector. The vector combines local texture features and global statistic features to representative the texture features of the object. Recognition and Classification of ancient dwellings can be realized by using GLVQ. Experiments show, the vector can representative those irregular and low resolution ancient objects that are based on Gabor direction-invariant local texture features and histogram global features. The GLVQ classifier based the vector of histogram has a good robust, and obtains better detecting effect.

목차

Abstract
 1. Introduction 
 2. Research Statuses
 3. Multi-Directions and Multi-Scales Features of Gabor
 4. Region Histogram Based on Gabor Features
 5. GLVQ Classification Algorithm Based on Feature Vector of Target
 6. Experiments and Analysis
 7. Conclusions
 Acknowledgement 
 References

키워드

저자

• Yang-Fan [ School of Information Engineering, HuangShan University, Anhui 245041, China, Electronics and Information Engineering School, Tongji University, Shanghai 201804, China ]
• Shen Lai-xin [ School of Information Engineering, HuangShan University, Anhui 245041, China, Electronics and Information Engineering School, Tongji University, Shanghai 201804, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605