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Proceedings Paper

A new improved HSV image fusion method
Author(s): Ling Ding; Hongyi Li
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Paper Abstract

A new image fusion method based on hue-saturation-value (HSV) color space is proposed, the improved HSV fuses multi-spectral (MS) and panchromatic (PAN) images to improve spatial information and preserve spectral characteristics. The main advantage of the new fusion method is a simple and efficient way which can maximize the extraction of the spatial information and eliminate the disturbance of spectral information in PAN image. the difference of the low components information between PAN and the value component is filtered from the PAN image, and then value component are replaced by the new PAN image, the new HSV color space perform reverse transform to obtain a multispectral image with the high spatial resolution.SPOT-5 and QuickBird MS and PAN images were employed to execute the existing HSV and improved HSV fusion methods. Qualitative and quantitative analyses and classification accuracy assessment were conducted to evaluate the performance of the fusion methods. The results demonstrate that the improved HSV is better than traditional HSV methods. The new fusion method can achieve a wide range of balance between high spatial resolution retention and spectral characteristic preservation.

Paper Details

Date Published: 15 November 2017
PDF: 13 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106051N (15 November 2017); doi: 10.1117/12.2291610
Show Author Affiliations
Ling Ding, China Earthquake Administration (China)
Hongyi Li, Institute of Remote Sensing and Digital Earth (China)

Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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