Remote sensing image fusion based on IHS transform, wavelet transform, and HPF

Bicheng Li; Jun Wei

doi:10.1117/12.467800

11 June 2003 Remote sensing image fusion based on IHS transform, wavelet transform, and HPF

Bicheng Li, Jun Wei

Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.467800
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

Remote-sensing image fusion is becoming widely used in object recognition because of complementary nature of images from different sensors. In the past few years, many fusion methods have been introduced, where intensity-hue-saturation transform (IHST)-based fusion method, wavelet transform (WT)-based fusion method and high pass filter (HPF)-based fusion method are commonly used. There are complementarities between the three fusion methods, so this paper presents a new fusion method based on WT, IHST and HPF, which overcomes the shortcomings of the three fusion methods and exploits their strong points. Our new method uses WT-based fusion method to preserve the spectral information of the original multispectral image, and IHST-based fusion method to improve spatial presentation of the fused image, and HPF-based method to merge the low-frequency part of the panchromatic image with that of the I channel data of the multispectral image in WT domain to enhance spatial information and avoid block effect in WT-based fusion method. Experiment results show that our new method is efficient. It not only preserves the spectral information of the original multispectral image very well, but also enhances spatial presentation of the fused image largely.

Citation Download Citation

Bicheng Li and Jun Wei "Remote sensing image fusion based on IHS transform, wavelet transform, and HPF", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.467800

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available