@SWgeoscience

#Geoscientist #metals #geothermal #machinelearning #datascience

 South West, England
swgeoscience.github.io
Joined May 2012
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Replying to @palaeobeas @hsrhughes @nom_D_plumes
@palaeobeas @hsrhughes @nom_D_plumes
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We conclude that the #TiltDerivative is superior for its consistency across step changes in the data and its ability to identify lineaments off of major axes consistently. It's not perfect though as we identify some artefacts that require removing!
Three rose diagrams where A) is the original population of lineaments for the TDR transform; B) is the population of spurious lineaments; C) the final lineament population for the TDR transform following spatial filtering.

ALT Three rose diagrams where A) is the original population of lineaments for the TDR transform; B) is the population of spurious lineaments; C) the final lineament population for the TDR transform following spatial filtering.

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Orientations can be vastly different, too! Where some are tightly grouped around major axes - the shortest path for lineaments to fit through pixels. The hillshade transform is a particular culprit, but commonly used! #geology #StructuralGeology #ImageAnalysis
Equal-area wedge rose diagrams for lineament populations derived from each feature extraction technique. The major NW-SE trend is apparent in all plots but with variable clarity. Plots are based on guidelines by Sanderson and Peacock (2020).

ALT Equal-area wedge rose diagrams for lineament populations derived from each feature extraction technique. The major NW-SE trend is apparent in all plots but with variable clarity. Plots are based on guidelines by Sanderson and Peacock (2020).

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Different filters and transforms give different responses when using a semi-automated lineament detection method. Some capture more lineaments, some fewer, and at different depths (or elevation). It's particularly important when there are step changes in the data. #ImageAnalysis
Kernel Density Estimate (KDE) plot for the depths at which lineaments are sensed for each method where GRAD = gradient filter; LP3 = 3 x 3 Laplacian; LP5 = 5 x 5 Laplacian; HS = Hillshade and TDR = tilt derivative. The TDR-derived lineament population shows a clear deviation from others where lineaments at depths > -28 m are detected for this transform but not other operators.

ALT Kernel Density Estimate (KDE) plot for the depths at which lineaments are sensed for each method where GRAD = gradient filter; LP3 = 3 x 3 Laplacian; LP5 = 5 x 5 Laplacian; HS = Hillshade and TDR = tilt derivative. The TDR-derived lineament population shows a clear deviation from others where lineaments at depths > -28 m are detected for this transform but not other operators.

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:: NEW PAPER THREAD :: Check out our new paper on using different transforms and filters in semi-automated #lineament analysis. It is #OpenAccess for the next six months or available on @EarthArXiv doi.org/10.1016/j.jsg.2021.1… A #BiscuitCorner publication. #geology #SciComm
A subset of the semi-automated lineament populations highlighting performance over the platform edge where the tilt derivative captures the most consistent lineament set. Derived from A) magnitude of gradient filter; B) magnitude of Sobel filter; C) 3× 3 Laplacian filter; D) 5 x 5 Laplacian filter; E) hillshade transform; F) tilt derivative (TDR) transform.

ALT A subset of the semi-automated lineament populations highlighting performance over the platform edge where the tilt derivative captures the most consistent lineament set. Derived from A) magnitude of gradient filter; B) magnitude of Sobel filter; C) 3× 3 Laplacian filter; D) 5 x 5 Laplacian filter; E) hillshade transform; F) tilt derivative (TDR) transform.

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My cat wouldn’t shut up so I stepped away from the desk expecting a five minute fuss before she got bored... I may need to adapt my work environment today. Wish I’d brought stuff closer 😩 #CatsOfTwitter #WFH #office #cat
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Replying to @palaeobeas
@palaeobeas
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Replying to @ZJAyres
@ZJAyres
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I don’t normally do #ThinSectionThursday but here’s a CL image from a fault zone in southwest England and shows different #quartz generations, grey-yellow and blue, and some rather jazzy bands of what I’ve tentatively called hematite (orange, likely altered). Not a petrologist.
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I've always wanted to subscribe but never found the funds to do it... won't need to be finding the budget for that in the future
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