IKONOS image fusion process using steepest descent method with bi-linear interpolation

• Published in: International journal of remote sensing Vol. 34; no. 2; pp. 505 - 518
• Main Authors: Kalpoma, Kazi A, Kawano, Koichi, Kudoh, Jun-ichi
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 01.01.2013
• Subjects: Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; color; Earth sciences; Earth, ocean, space; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; image analysis; Internal geophysics; multispectral imagery; Teledetection and vegetation maps; wavelet; processes; Multispectral detection; color; geologic sections; aluminum; Method; Image; wavelet transformation; quality; Result; Optimum; Improvement; interpolation; Problem; distortion; high resolution
• ISSN: 1366-5901; 0143-1161; 1366-5901
• DOI: 10.1080/01431161.2012.712233

There are many image fusion processes to produce a high-resolution multispectral (MS) image from low-resolution MS and high-resolution panchromatic (PAN) images. But the most significant problems are colour distortion and fusion quality. Previously, we reported a fusion process that produced a1 m resolution IKONOS fused image with minimal spectral distortion. However, block distortion appeared at the edge of the curved sections of the fused image, which was reduced by performing the wavelet transformation as a post-process. Here, we propose an image fusion process using the steepest descent method with bi-linear interpolation, which can remove block distortion without using wavelet transformation. Bi-linear interpolation provides the proper initial values of the fused image, and then the steepest descent method produces the optimum results of the fusion process. These results achieve improvement on the spectral as well as spatial quality of a1 m resolution fused image when compared with other existing methods and remove block distortion completely.