T8_Image Transformations_v2_3slides

T8_Image Transformations_v2_3slides - Geography 333 Remote...

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1 Geography 333 Remote Sensing I Topic 8: Image Transformations 2 Readings Topic 8: Chapter 8 (Image Enhancements) Topic 9: Chapter 8 (Vegetation Transformations pg 301-322) 3 Outline The Thematic Information Extraction Process Principal Components Analysis Tasseled cap Vegetation indices Difference vegetation index Simple ratio NDVI Other transformations
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2 4 Thematic Information Extraction Define the classification problem Determine study area boundary Identify classes of interest Acquire the appropriate data Remote sensing, DEM, ancillary data ‘Ground truth’ information of study area Perform pre-processing tasks Radiometric correction Geometric correction Data integration Theme: a unifying idea that is a recurrent element Source: creativemappingsolutions.com 5 Thematic Information Extraction, cont… Perform image processing for thematic information extraction: Select classification logic and algorithms Perform image transformation/parameter selection Extract initial training data (if required) Select most appropriate input variables Extract final training data (if required) Extract thematic information Assess classification accuracy 6 Thematic Information Extraction, cont… Report and distribute Image and map lineage report Metadata Distribute digital/analog products
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3 7 RGB Colour Model Also called additive colour theory Full spectrum of colours created by combinations of additive primaries 8 Intensity-Hue-Saturation (IHS) A way to describe relationships of colour in 3D (sphere, cylinder, cone) IHS is a representations of points in an RGB color model that attempts to describe perceptual color relationships more accurately than RGB, while remaining computationally simple. IHS color space is very useful for image processing because it separates the color information in ways that correspond to the human visual system's response. 9 Intensity-Hue-Saturation (IHS) A way to describe relationships of colour in 3D (sphere, cylinder, cone) Hue : the dominant or perceived colour Not just limited to primaries Saturation : colour purity Amount of ‘whiteness’ Intensity : brightness or luminance Amount of ‘greyness’
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4 10 Intensity-Hue-Saturation (IHS) Intensity and colour information are decoupled Possible to process intensity without changing colour Fuse information from two different data sets Hue + saturation (colour) from one Intensity (spatial variation) from another 11 IKONOS 1m Pan 4m color 12 Quickbird 0.61m Pan 2.44m color Quickbird 0.61m Pan 2.44m color
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5 13 14 IHS - Purposes Visualization Combining data sets In all cases, data requires the same geographic extent and projection Heavily silt-laden waters of the Ganges and the Brahmaputra Rivers
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This note was uploaded on 01/18/2011 for the course GEOG 331 taught by Professor Staff during the Fall '08 term at Kansas.

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T8_Image Transformations_v2_3slides - Geography 333 Remote...

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