A new adaptive image fusion technique for IKONOS satellite imagery

Jae Wan Choi; Hye Jin Kim; Ki Yun Ryu; Yong Il Kim

doi:10.1117/12.766401

29 February 2008 A new adaptive image fusion technique for IKONOS satellite imagery

Jae Wan Choi, Hye Jin Kim, Ki Yun Ryu, Yong Il Kim

Proceedings Volume 6816, Sensors, Cameras, and Systems for Industrial/Scientific Applications IX; 68160N (2008) https://doi.org/10.1117/12.766401
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

Preservation of spectral information and the enhancement of spatial resolution are regarded as very important in satellite image fusion. In previous research, many algorithms simultaneously unsolved these problems, or needed experimental parameters to enhance fusion performance. This paper proposed a new fusion method based on fast intensity-huesaturation (FIHS) to merge a high-resolution panchromatic image with a low-resolution multispectral image. It is conducted by multiple regressions for generating synthetic image and statistical ratio-based image enhancement, which is presented as solving the spectral distortion and conserving the spatial information of the panchromatic image. IKONOS datasets were employed in the evaluation. The results showed that the proposed method was better than the widely used image fusion methods, including the FIHS-based method and the Pan Sharpening module in PCI Geomatica. We compared widely used algorithms with adaptive FIHS image fusion using various fusion quality Indexes such as ERGAS, RASE, correlation, and the Q4 index. The images obtained from the proposed algorithm present higher spectral and spatial quality than the results from using other fusion methods. Therefore, the proposed algorithm is very efficient for high-resolution satellite image fusion with an automatic process.

Citation Download Citation

Jae Wan Choi, Hye Jin Kim, Ki Yun Ryu, and Yong Il Kim "A new adaptive image fusion technique for IKONOS satellite imagery", Proc. SPIE 6816, Sensors, Cameras, and Systems for Industrial/Scientific Applications IX, 68160N (29 February 2008); https://doi.org/10.1117/12.766401

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