HIS and DWT based remote sensing image fusion and its application on road extraction

Author

Yingtao, Li ; Jin, Wu ; Yang, Yang

Author_Institution

Wuhan Univ. of Sci. & Technol., Wuhan, China

fYear

2011

fDate

16-18 April 2011

Firstpage

394

Lastpage

397

Abstract

In this paper, an ideal proposed that improving the accuracy of the road information by enhancing the quality of image source. Apply the image information fusion algorithm that based on HIS transform and wavelet transform to the multi-spectral remote sensing images and QuickBird panchromatic remote sensing images fusion, the experimental results show that the quality of image source is substantially improved, and this ideal inaugurate a method for extract road information by the use of satellite remote sensing images accurately.

Keywords

discrete wavelet transforms; feature extraction; geophysical image processing; image enhancement; image fusion; remote sensing; roads; DWT; HIS transform; QuickBird panchromatic remote sensing image fusion; hue intensity saturation color model; image information fusion algorithm; image source quality enhancement; multispectral remote sensing image; road information extraction; satellite remote sensing image; wavelet transform; Data mining; Feature extraction; Image color analysis; Remote sensing; Roads; Wavelet transforms; HIS transform; Road Extraction; image source; remote sensing image fusion; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on

Conference_Location

XianNing

Print_ISBN

978-1-61284-458-9

Type

conf

DOI

10.1109/CECNET.2011.5768817

Filename

5768817