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Intensity, Hue, and Saturation IHS Transformation to Enhance Spatial Resolution of IKONOS Data

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Intensity, Hue, and Saturation IHS Transformation to Enhance Spatial Resolution of IKONOS Data

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    1. Intensity, Hue, and Saturation (IHS) Transformation to Enhance Spatial Resolution of IKONOS Data Josh Metz ESM 266 Spring 2003

    2. Problem Tahoe Regional Planning Agency (TRPA) desires to use high-resolution IKONOS satellite imagery to map near-shore lakebed substrate Possible to improve spatial resolution of multi-spectral data using mathematical transformation

    3. IKONOS Data Multi-spectral data acquired in the visible and near-infrared at 4m spatial resolution Panchromatic data acquired simultaneously at 1m spatial resolution

    4. Intensity, Hue, Saturation (IHS) An alternative representation of visible spectrum Images represented by: Intensity (brightness) Hue (color) Saturation (grayscale) Colors closer to natural human perception (vs RGB)

    5. IHS Transformation IKONOS Bands: 1 (blue) 2 (green) 3 (red) 4 (NIR) Only use 3 bands in HIS transformation Chose bands 4, 2, 1 (shorter = deeper H20 penetration, NIR = brighter) IKONOS Bands: 1 (blue) 2 (green) 3 (red) 4 (NIR) Only use 3 bands in HIS transformation Chose bands 4, 2, 1 (shorter = deeper H20 penetration, NIR = brighter)

    6. Image Fusion Data Processing Steps (ERDAS Imagine 8.4): Image subset 11-bit to 8-bit conversion RGB to IHS Replace Intensity band with Panchromatic band Reverse IHS Transformation

    7. RGB to IHS

    8. IHS to RGB

    9. Conclusion IHS transformation is useful for enhancing the spatial resolution of IKONOS data from 4m to 1m Improving the spatial resolution should help identify smaller variation in surface features for lake substrate mapping

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