Indexing of Remote Sensing Images With Different Resolutions by Multiple Features

Author

Bin Luo ; Shujing Jiang ; Liangpei Zhang

Author_Institution

State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China

Volume

6

Issue

4

fYear

2013

fDate

Aug. 2013

Firstpage

1899

Lastpage

1912

Abstract

The indexing of the images from huge remote sensing databases is a key issue for the space agencies. A particularity of remote sensing image databases is that the images are with different but known spatial resolutions. In this paper, the joint indexing of remote sensing images with different spatial resolutions are investigated. The main contribution of this paper consists in proposing the approaches for comparing the features extracted from the images with different spatial resolutions, which are usually not comparable. The experimental results obtained on satellite images taken by SPOT5 and SPOT have validated the proposed comparing approaches.

Keywords

database indexing; feature extraction; geophysical image processing; geophysical techniques; image resolution; image retrieval; remote sensing; visual databases; SPOT5; feature comparison; feature extraction; image resolution; multiple features; remote sensing image database; remote sensing image indexing; satellite image; space agency; spatial resolution; Image analysis; image recognition; image retrieval; remote sensing;

fLanguage

English

Journal_Title

Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of

Publisher

ieee

ISSN

1939-1404

Type

jour

DOI

10.1109/JSTARS.2012.2228254

Filename

6509464