• Title/Summary/Keyword: FIHS 융합

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An Adaptive FIHS Fusion Using Spatial and Spectral Band Characteristics of Remote Sensing Image (위성 영상의 공간 및 분광대역 특성을 활용한 적응 FIHS 융합)

  • Seo, Yong-Su;Kim, Joong-Gon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.12 no.4
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    • pp.125-135
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    • 2009
  • Owing to its fast computing capability for fusing images, the FIHS(Fast Intensity Hue Saturation) fusion is widely used for fusion purposes. However, the FIHS fusion also distorts color in the same way such as the IHS(Intensity Hue Saturation) fusion technique. In this paper, a FIHS fusion technique(FIHS-BR) which reduces color distortion by using the ratio of each spectral band and an adaptive FIHS fusion(FIHS-SABR) using spatial information and the ratio of each spectral band are proposed. The proposed FIHS-BR fusion reduces color distortion by adding different spatial detail improvement values for each spectral band. The spatial detail improvement values are derived from the ratio of spectral band. And the proposed FIHS-SABR fusion reduces more color distortion by readjusting the spatial detail improvement values for each spectral band according to the ratio of the spectral bands. The spatial detail improvement values are derived adaptively from the characteristics of spatial information of the local image. To evaluate the performance of the proposed FIHS-BR fusion and FIHS-SABR fusion, a computer simulation is performed for IKONOS remote sensing image. Results from the experiments show that the proposed methods have less color distortion for the forest regions which reveal severe color distortion in the traditional FIHS fusion. From the evaluation results of the characteristics of spectral information for fused image, we show that the proposed methods have best results.

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A Comparative Analysis of IHS, FIHS, PCA, BT and WT Image Fusion Methods Using IKONOS Image Data (IKONOS 영상을 활용한 IHS, FIHS, PCA, BT, WT 영상 융합법의 비교분석)

  • Kim, Hyun;Yu, Jae Ho;Kim, Joong Gon;Seo, Yong Su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.599-602
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    • 2009
  • This paper presents a comparative analysis of five different fusion methods. The five different methods to merge multispectral images and panchromatic image are IHS, FIHS, PCA, BT and WT methods. The comparative analysis based on visual analysis and quantitative analysis are performed using the merged results. From the results the FIHS method provide good result, BT, PCA, IHS and WT method show the next order.

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