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Saturation And Value Modulation: A New Method For Integrating Colour And Grey-Scale Imagery David Saturation And Value Modulation: A New Method For Integrating Colour And Grey-Scale Imagery David Viljoen & Jeff Harris Geological Survey of Canada 1/30

Overview • Why integrate colour and grey-scale data? • Conventional methods and problems. • Overview • Why integrate colour and grey-scale data? • Conventional methods and problems. • Saturation-Value-Modulation concept & Sat. Val. Mod Arc. GIS implementation. • Geoscience examples. 2/30

Integrating Colour & Grey-scale imagery Enhancing the visualization of a dataset. } DEM with Integrating Colour & Grey-scale imagery Enhancing the visualization of a dataset. } DEM with shaded relief of DEM for Mt. Logan 3/30

Integrating Colour & Grey-scale imagery Visualizing the relationships between two datasets. } K-Th-U (RGB) Integrating Colour & Grey-scale imagery Visualizing the relationships between two datasets. } K-Th-U (RGB) Gamma ray spectrometer with Landsat TM 7 4/30

Layer transparency 20% 40% Tra nsp (Co lou Result is independent of layer order Layer transparency 20% 40% Tra nsp (Co lou Result is independent of layer order are ro ver 80% ncy sha of de dr Co lou elie f) r 60% Tra 80% ns pa (Sh ren ad ed cy rel of s ief ov had er co ed lou r) Layer transparency control in Arc. Map rel 40% ief 20% 5/30

Red-Green-Blue coordinates RGB used to define colours in computers and image files. Integrating colour Red-Green-Blue coordinates RGB used to define colours in computers and image files. Integrating colour and grey scale imagery involves manipulation of colours in RGB & HSV coordinate spaces. 6/30

Hue–Sat–Value coordinates Saturation Hue V = 100 120º 0 Value 0º S = 100 Hue–Sat–Value coordinates Saturation Hue V = 100 120º 0 Value 0º S = 100 240º 0 0º 359º Hue 7/30

Conventional Value Replacement H R G B RGB 2 HSV R S V HSV Conventional Value Replacement H R G B RGB 2 HSV R S V HSV 2 RGB STOP G B 8/30

Problems with Value Replacement • Loss/corruption of colour where: 1. Pixel colour is differentiated Problems with Value Replacement • Loss/corruption of colour where: 1. Pixel colour is differentiated on Value (HSV) 2. Pixel colour has low saturation (achromatic axis of RGB cube) 9/30

Problems with Value Replacement 1. Pixel colour is differentiated on Value R, G, B Problems with Value Replacement 1. Pixel colour is differentiated on Value R, G, B H, S, V 0, 110, 0 120, 99, 43 0, 188, 0 120, 99, 74 0, 253, 0 120, 99 10/30 Replace V with pixel values from shaded relief

Problems with Value Replacement 2. Pixel colour has low saturation (achromatic axis of RGB Problems with Value Replacement 2. Pixel colour has low saturation (achromatic axis of RGB cube) Using Values from grey-scale image … … to replace the Values of colours with low saturation … … results in poor image integration. 11/30

Conventional RGB Modulation R Multiply R’ G Multiply G’ B Multiply B’ 12/30 Conventional RGB Modulation R Multiply R’ G Multiply G’ B Multiply B’ 12/30

Problem with RGB Modulation Overwhelming majority of pixels in the output raster will have Problem with RGB Modulation Overwhelming majority of pixels in the output raster will have a darker colour than original. Better than value replacement. Colours are not “lost” but what happened to the yellow. 13/30

Inspiration for Sat. Val. Mod 14/30 Inspiration for Sat. Val. Mod 14/30

Sat. Val. Mod Concept Lower Saturation Lower Value Cutoff 15/30 Sat. Val. Mod Concept Lower Saturation Lower Value Cutoff 15/30

Sat. Val. Mod Multipliers Lower Saturation Multiplier Saturation multiplier Value multiplier Shade value Lower Sat. Val. Mod Multipliers Lower Saturation Multiplier Saturation multiplier Value multiplier Shade value Lower Value Cutoff 16/30

Sat. Val. Mod Detail H R Multipliers S V * * 1. 00 0. Sat. Val. Mod Detail H R Multipliers S V * * 1. 00 0. 75 = Sm = Vm HSV 2 RGB G B Pixel value in grey-scale image determines multiplier 17/30

Sat. Val. Mod in Arc. GIS Sat. Val. Mod written in VBA Runs in Sat. Val. Mod in Arc. GIS Sat. Val. Mod written in VBA Runs in Arc. GIS 8. x or 9. x (Arc. Map – Arc. View or Arc. Info) 18/30

Sat. Val. Mod Colour Raster Options CLR file pixel value and RGB’s R G Sat. Val. Mod Colour Raster Options CLR file pixel value and RGB’s R G B 8 -bit image planes R G B 3 separate 8 -bit raster files 19/30

Sat. Val. Mod Parameters 20/30 Sat. Val. Mod Parameters 20/30

Sat. Val. Mod parameters (Cut. Off) Cut. Off = 255 Cut. Off = 180 Sat. Val. Mod parameters (Cut. Off) Cut. Off = 255 Cut. Off = 180 Cut. Off = 128 Cut. Off should be the maxima of the shade raster histogram. For shaded relief images, this is sin(Altitude). 21/30

Sat. Val. Mod parameters (Vmin) Vmin = 0. 3 Vmin = 0. 6 Vmin Sat. Val. Mod parameters (Vmin) Vmin = 0. 3 Vmin = 0. 6 Vmin > 0 is best so shadows are not completely black. 22/30

Sat. Val. Mod parameters (Vexp) Vexp = 0. 3 Vexp = 1 Vexp = Sat. Val. Mod parameters (Vexp) Vexp = 0. 3 Vexp = 1 Vexp = 3 Vexp 1 is recommended so shadows are not too extensive. 23/30

Sat. Val. Mod parameters (Smin) Smin = 0. 3 Smin = 0. 6 Smin Sat. Val. Mod parameters (Smin) Smin = 0. 3 Smin = 0. 6 Smin < 0. 4 is recommended. Higher values do not provide enough decrease in saturation. 24/30

Sat. Val. Mod parameters (Sexp) Sexp = 0. 3 Sexp = 1 Sexp = Sat. Val. Mod parameters (Sexp) Sexp = 0. 3 Sexp = 1 Sexp = 3 Sexp 1 provides better results 25/30

Geology + Shaded relief aeromag. Sat. Val. Mod does not lose or corrupt original Geology + Shaded relief aeromag. Sat. Val. Mod does not lose or corrupt original colours. Value replacement Sat. Val. Mod RGB Modulation 26/30

Pan sharpening Colour critical? Use Sat. Val. Mod. Sharpening critical, colour unimportant? Use value Pan sharpening Colour critical? Use Sat. Val. Mod. Sharpening critical, colour unimportant? Use value replacement Value replacement Sat. Val. Mod RGB Modulation 27/30

Ternary images Value replacement Sat. Val. Mod RGB Modulation U-Th-K RGB composite image integrated Ternary images Value replacement Sat. Val. Mod RGB Modulation U-Th-K RGB composite image integrated with shaded relief DEM 28/30

Conclusions q Sat. Val. Mod provides better integration of colour and grey-scale imagery compared Conclusions q Sat. Val. Mod provides better integration of colour and grey-scale imagery compared to many traditional methods. q Colour is more accurate. q SVM Parameters provide flexibility on integration. Value replacement Sat. Val. Mod RGB Modulation 29/30

Availability • Arc. GIS 8. x and 9. x MXD VBA • Arc. Map Availability • Arc. GIS 8. x and 9. x MXD VBA • Arc. Map – Arc. View or Arc. Info • e-mail for download instructions viljoen@nrcan. gc. ca 30/30