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Archaeological applications of multi/hyper-spectral data challenges and potential Anthony Beck School of Computing, University of Leeds, UK DART Project Champion
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Aerial remote sensing  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Map of GPS tracks Slide courtesy of Stefano Campana
Aerial archaeology: Pros and Cons ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
EM spectrum and Aerial Photography (Log scale) Traditional aerial photography Tiny Tiny Tiny
Multi and Hyperspectral Sensors Dimension and number of recordable wavelengths. There is  NO  archaeological spectral signature. Allows one to select the portion of the spectrum where there is the most contrast. Hence, an improvement in archaeological detection. Poorly understood outside the visual
Mono-spectral (panchromatic) remote sensing 1 Dimension  1 wavelength Limited definition Archaeology is poorly understood outside the visual There is  NO  archaeological spectral signature.
Multi-spectral remote sensing Many dimensions Many wavelengths There is  NO  archaeological spectral signature. Allows one to select the portion of the spectrum where there is the most contrast. Hence, an improvement in archaeological detection.
Hyper-spectral remote sensing Hyper (lots) of dimensions Hyper (lots) of   wavelengths. Allows more freedom in spectrum/contrast identification. Hence, an improvement in archaeological detection. Spectral signature allows identification of soil/vegetation There is  NO  archaeological spectral signature.
There is  NO  archaeological spectral signature
Sensor Resolution ,[object Object],[object Object],[object Object],[object Object],[object Object]
Spatial Resolution ,[object Object],[object Object],[object Object],[object Object],[object Object]
Temporal resolution ,[object Object],[object Object],[object Object],[object Object]
Radiometric Resolution ,[object Object],[object Object],[object Object],[object Object],[object Object]
Multi/Hyper spectral summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
First Principals - Archaeological Site Detection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
First Principals – Archaeological Sites ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
First Principals – Archaeological Site Examples Micro-Topographic variations Soil Marks variation in mineralogy and moisture properties Differential Crop Marks constraint on root depth and moisture availability  changing crop stress/vigour Proxy Thaw Marks Exploitation of different thermal capacities of objects  expressed in the visual  component as thaw marks Now you see me Now you dont
Why Non-Visual Remote Sensing? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Contrast and Archaeological Detection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Detection and (De-)Formation Processes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Environmental and ambient conditions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
DART aims to understand ,[object Object]
DART aims to understand ,[object Object]
DART aims to understand ,[object Object]
DART aims to understand ,[object Object]
DART Research Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DART Outcomes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DART Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary: Detection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary: Multi/Hyper Spectral ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Archaeological applications of multi/hyper-spectral data challenges and potential Anthony Beck School of Computing, University of Leeds, UK DART Project Champion Follow DART and its outputs using the following: Website: www.comp.leeds.ac.uk/dart Blog: dartheritage.wordpress.com  Twitter: follow DART_Project SlideShare presentations: www.slideshare.net/DARTProject Scribd documents: www.scribd.com/dart_project

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Archaeological applications of multi/hyper-spectral data: challenges and potential

  • 1. Archaeological applications of multi/hyper-spectral data challenges and potential Anthony Beck School of Computing, University of Leeds, UK DART Project Champion
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  • 4. Map of GPS tracks Slide courtesy of Stefano Campana
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  • 6. EM spectrum and Aerial Photography (Log scale) Traditional aerial photography Tiny Tiny Tiny
  • 7. Multi and Hyperspectral Sensors Dimension and number of recordable wavelengths. There is NO archaeological spectral signature. Allows one to select the portion of the spectrum where there is the most contrast. Hence, an improvement in archaeological detection. Poorly understood outside the visual
  • 8. Mono-spectral (panchromatic) remote sensing 1 Dimension 1 wavelength Limited definition Archaeology is poorly understood outside the visual There is NO archaeological spectral signature.
  • 9. Multi-spectral remote sensing Many dimensions Many wavelengths There is NO archaeological spectral signature. Allows one to select the portion of the spectrum where there is the most contrast. Hence, an improvement in archaeological detection.
  • 10. Hyper-spectral remote sensing Hyper (lots) of dimensions Hyper (lots) of wavelengths. Allows more freedom in spectrum/contrast identification. Hence, an improvement in archaeological detection. Spectral signature allows identification of soil/vegetation There is NO archaeological spectral signature.
  • 11. There is NO archaeological spectral signature
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  • 19. First Principals – Archaeological Site Examples Micro-Topographic variations Soil Marks variation in mineralogy and moisture properties Differential Crop Marks constraint on root depth and moisture availability changing crop stress/vigour Proxy Thaw Marks Exploitation of different thermal capacities of objects expressed in the visual component as thaw marks Now you see me Now you dont
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  • 35. Archaeological applications of multi/hyper-spectral data challenges and potential Anthony Beck School of Computing, University of Leeds, UK DART Project Champion Follow DART and its outputs using the following: Website: www.comp.leeds.ac.uk/dart Blog: dartheritage.wordpress.com Twitter: follow DART_Project SlideShare presentations: www.slideshare.net/DARTProject Scribd documents: www.scribd.com/dart_project