Share Email Print
cover

Proceedings Paper

Research on the classification algorithm of aerial image based on the weighted mean-shift
Author(s): Qiang Guo; Hanyu Hong; Yichao Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The main problem of aerial image classification is how to classify with robust and high precision at present. Therefore, a new approach of the aerial image classification based on the weighted Mean Shift is proposed in this paper. The kernel density function's local maximum is found by the weighted Mean Shift filter of pixels in feature space using resamplying strategy, and the neighborhood data points are shifted to the local maximum of the region, in which the same course is implemented repeatedly to all the pixels in image. Then the classification image is got by fusing each cluster region.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67903K (14 November 2007); doi: 10.1117/12.751667
Show Author Affiliations
Qiang Guo, Wuhan Institute of Technology (China)
Hanyu Hong, Wuhan Institute of Technology (China)
Yichao Chen, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

© SPIE. Terms of Use
Back to Top