Application of M-band wavelet theory to texture analysis in content-based aerial image retrieval

Author

Cheng, Qimin ; Yang, Chongjun ; CHEN, Feixiang ; Shao, Zhenfeng

Author_Institution

Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing

Volume

3

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

2163

Abstract

With the rapid development of 3S technologies, content-based retrieval from remote sensing images provides an important means of information acquisition and sharing and has become a key technology in digital earth construction. This paper puts the emphasis on using texture features for retrieval of aerial image database. M-band wavelet theory is introduced and M-band wavelet histogram technology is applied to texture extraction. Some experimental results are given to evaluate the retrieval performance of our method and to compare with that of method based on traditional two-band wavelet transform, followed by conclusions

Keywords

content-based retrieval; data acquisition; feature extraction; geophysical signal processing; image retrieval; image texture; remote sensing; visual databases; wavelet transforms; M-band wavelet histogram technology; M-band wavelet theory; content-based aerial image database retrieval; digital earth construction; information acquisition; information sharing; remote sensing images; retrieval performance evaluation; texture analysis; texture extraction; texture features; Content based retrieval; Earth; Histograms; Image analysis; Image databases; Image retrieval; Image texture analysis; Information retrieval; Remote sensing; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370788

Filename

1370788