Tectonic lineament mapping of the Thaumasia Plateau, Mars: Comparing results from photointerpretation and a semi-automatic approach

Vaz, D. A.; Achille, G. Di; Barata, Teresa; Alves, E. I.

doi:10.1016/j.cageo.2012.05.008

Cited by 20 publications

(7 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The same generic technique was successfully applied on Mars to map and analyze tectonic structures from DTMs (Vaz, 2011;Vaz et al, 2012 and aeolian ripples from HiRISE imagery (Silvestro et al, 2011(Silvestro et al, , 2013. The common point in these examples is that image recognition techniques can be used to identify linear objects with a single well-constrained geomorphological meaning.…”

Section: Methodsmentioning

confidence: 99%

Object-based Dune Analysis: Automated dune mapping and pattern characterization for Ganges Chasma and Gale crater, Mars

et al. 2015

Self Cite

View full text Add to dashboard Cite

A method that enables the automated mapping and characterization of dune fields on Mars is described. Using CTX image mosaics, the introduced Object-based Dune Analysis (OBDA) technique produces an objective and reproducible mapping of dune morphologies over extensive areas. The data set thus obtained integrates a large variety of data, allowing a simple cross-analysis of dune patterns, spectral and morphometric information, and mesoscale wind models. Two dune fields, located in Gale crater and Ganges Chasma, were used to test and validate the methodology. The segmentation of dune-related morphologies is highly efficient, reaching overall accuracies of 95%. In addition, we show that the automated segmentation of slipface traces is also possible with expected accuracies of 85-90%. A qualitative and quantitative comparison of the final outputs with photointerpretations is performed, and the precision of the directional characterization of the dune patterns is evaluated. We demonstrate a good agreement between the OBDA outputs and the photointerpreted dune morphologies, with local trend deviations below 45°f or 80-95% of the mapped areas. Because the developed algorithm is tuned for the recognition of linear features from the imagery, the slipfaces of small barchans can be preferentially overlooked owing to their small extent at the spatial resolution of the CTX mosaics. Dune types composed of longer linear morphologies are much better represented, including correct mapping of secondary structures. Having proved the effectiveness and accuracy of the mapping procedure, we discuss its future applications for the improvement of dune catalogs on Mars.

show abstract

Section: Methodsmentioning

confidence: 99%

Object-based Dune Analysis: Automated dune mapping and pattern characterization for Ganges Chasma and Gale crater, Mars

et al. 2015

Self Cite

View full text Add to dashboard Cite

show abstract

“…Apesar dos avanços e do rápido desenvolvimento no processamento de imagens digitais, a técnica tradicional de extração manual de lineamentos estruturais ainda é amplamente utilizada, o que resulta em uma menor precisão na análise e demanda mais tempo no tratamento dos dados estruturais azimutais e plotagem em diagramas de rosetas. Nesse contexto, a extração automática de lineamentos apresenta-se como um método inovador e eficiente na delimitação das anisotropias geológicas, de modo a reduzir a subjetividade no reconhecimento de lineamentos estruturais (Hardcastle, 1995;Henriksen & Braathen, 2005;Mallast et al, 2011;Vaz et al, 2012;Vasuki et al, 2014;Lobatskaya & Strelchenko, 2016).…”

Section: Extração Automática De Lineamentosunclassified

Extração Automática De Lineamentos Na Exploração De Aquíferos Fissurais: Uma Revisão / Automatic Extraction of Lineaments in Groundwater Exploration of Fissural Aquifers: A Review

Barreiro

Barbosa

Silva

2020

BJD

View full text Add to dashboard Cite

“…A scale-dependent time limit was set at 8 min for the 1:20.000 scale, 30 min for the 1:10.000 scale and 120 min for the 1:5.000 is well suited for spatial assessment but poor in quantitative accuracy (e.g., Richards & Jia 2006). On the other hand, automatically generated lineament maps have been found to contain a higher lineament density and a more uniform distribution of orientations than manually produced lineament maps (Vaz et al 2012).…”

Section: Methodsmentioning

confidence: 99%

Manual extraction of bedrock lineaments from high-resolution LiDAR data: methodological bias and human perception

Scheiber

Fredin

Viola

et al. 2015

GFF

View full text Add to dashboard Cite

Tectonic lineament mapping of the Thaumasia Plateau, Mars: Comparing results from photointerpretation and a semi-automatic approach

Cited by 20 publications

References 29 publications

Object-based Dune Analysis: Automated dune mapping and pattern characterization for Ganges Chasma and Gale crater, Mars

Object-based Dune Analysis: Automated dune mapping and pattern characterization for Ganges Chasma and Gale crater, Mars

Extração Automática De Lineamentos Na Exploração De Aquíferos Fissurais: Uma Revisão / Automatic Extraction of Lineaments in Groundwater Exploration of Fissural Aquifers: A Review

Manual extraction of bedrock lineaments from high-resolution LiDAR data: methodological bias and human perception

Contact Info

Product

Resources

About