Upload
taylor-harper
View
27
Download
0
Tags:
Embed Size (px)
DESCRIPTION
Optical Stratigraphy of a Wasatch fault trench wall and a Maritian surface using watershed-based segmentation. Chaiwoot Boonyasiriwat Julie Willis Jerry Schuster Chris Duross. Motivation for digital trench wall logging Algorithm for separating rocks from fill Statistics Mars. - PowerPoint PPT Presentation
Citation preview
Optical Stratigraphy of a Wasatch fault trench wall
and a Maritian surface using watershed-based segmentation
Chaiwoot BoonyasiriwatJulie Willis
Jerry SchusterChris Duross
Pre-earthquake
Earthquake
900 years later
Development of a colluvial wedge
Motivation for digital
trench wall logging
1 meter
• Develop a rock segmentation algorithm to separate clasts from matrix.
• Determine whether colluvial wedges, debris flows and channel deposits can be statistically differentiated.
Mapleton Trench Level 1
1 m
1 meter
Colluvial Wedge
Debris Flow
ChannelDeposit
1 meter
Algorithm successfully separates rocks from fill – 80% accuracy.
• Can colluvial wedges, debris flows and channel deposits be statistically differentiated? Compare: Orientation, Eccentricity, Percent Rock
Mapleton Trench Level 1
1 m
Colluvial Wedge
Debris Flow
ChannelDeposit
Eccentricity
2.8% < 0.2
12.5% < 0.2
2.5% < 0.2
Percent Rock
Channel Deposits: 32 %
Colluvial Wedge: 48 %
Debris Flow: 42 %
1 meter
Can colluvial wedges, debris flows and channel deposits be statistically differentiated?
Orientation – Colluvial Wedge
Eccentricity, Percent Rock – Channel Deposits
Mapleton Trench Level 1
1 m
Colluvial Wedge
Debris Flow
ChannelDeposit
1 meter
Future work: • Use the segmentation algorithm to objectively log trench walls and
build data for more rigorous statistics • Mars and beyond . . .
Mapleton Trench Level 1
1 m
Colluvial Wedge
Debris Flow
ChannelDeposit
? ?
?
?