Visualisation of LiDAR terrain models for archaeological feature detection

Devereux, Bernard; Amable, Gabriel S.; Crow, P.

doi:10.1017/s0003598x00096952

Cited by 161 publications

(122 citation statements)

References 3 publications

(3 reference statements)

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“…These techniques can vary from simple slope computations to advanced techniques such as spatial spectral analysis (Fourier and wavelet) [65] and principal component analysis [66]. Intermediate techniques include spatial operators to assess "openness" or sky-visibility factors.…”

Section: Data Visualizationmentioning

confidence: 99%

Now You See It… Now You Don’t: Understanding Airborne Mapping LiDAR Collection and Data Product Generation for Archaeological Research in Mesoamerica

et al. 2014

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Abstract:In this paper we provide a description of airborne mapping LiDAR, also known as airborne laser scanning (ALS), technology and its workflow from mission planning to final data product generation, with a specific emphasis on archaeological research. ALS observations are highly customizable, and can be tailored to meet specific research needs. Thus it is important for an archaeologist to fully understand the options available during planning, collection and data product generation before commissioning an ALS survey, to ensure the intended research questions can be answered with the resultant data products. Also this knowledge is of great use for the researcher trying to understand the quality and limitations of existing datasets collected for other purposes. Throughout the paper we use examples from archeological ALS projects to illustrate the key concepts of importance for the archaeology researcher.

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Section: Data Visualizationmentioning

confidence: 99%

Now You See It… Now You Don’t: Understanding Airborne Mapping LiDAR Collection and Data Product Generation for Archaeological Research in Mesoamerica

et al. 2014

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“…Direct illumination restricts the visualization in dark shades and brightly lit areas, where no or very little detail can be perceived. A single light beam also fails to unveil linear structures that lie parallel to it ( Figure 1) which can be problematic in some applications, for example, in archaeology [20]. As a solution, Brassel [21] proposed to locally adapt the position of the illumination source in problematic areas.…”

Section: Relief Shadingmentioning

confidence: 99%

“…A common example is also a combination of standard hill-shading (315° azimuth) with vertical illumination [22,23]. Hill-shades from three different directions can also be used to create an RGB image [20,24]. Another approach to visualize the relief is employing a uniform diffuse illumination.…”

Section: Relief Shadingmentioning

confidence: 99%

“…The results are intuitive and similar to the SVF based visualization, but, in our experience, reveal fewer details. Because images created by illumination from several angles are highly correlated (the same scene is viewed) it is possible to mathematically transform them with the Principal Component Analysis (PCA) that "summarized" the information [20]. The first three components usually contain a high percentage (typically over 99 %) of the information or variability in the original dataset.…”

Section: Figurementioning

confidence: 99%

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Sky-View Factor as a Relief Visualization Technique

2011

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Abstract:Remote sensing has become the most important data source for the digital elevation model (DEM) generation. DEM analyses can be applied in various fields and many of them require appropriate DEM visualization support. Analytical hill-shading is the most frequently used relief visualization technique. Although widely accepted, this method has two major drawbacks: identifying details in deep shades and inability to properly represent linear features lying parallel to the light beam. Several authors have tried to overcome these limitations by changing the position of the light source or by filtering. This paper proposes a new relief visualization technique based on diffuse, rather than direct, illumination. It utilizes the sky-view factor-a parameter corresponding to the portion of visible sky limited by relief. Sky-view factor can be used as a general relief visualization technique to show relief characteristics. In particular, we show that this visualization is a very useful tool in archaeology as it improves the recognition of small scale features from high resolution DEMs.

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“…Of these, simple shaded relief has long been used as a standard visualization technique. While it is easily perceived and "read", its major drawback lies in the fact that it has reduced information content [1,2]. As a consequence, the number of publications dealing with the problem of displaying and interpreting…”

Section: Introductionmentioning

confidence: 99%

Openness as Visualization Technique for Interpretative Mapping of Airborne Lidar Derived Digital Terrain Models

2013

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Abstract:Openness is proposed as a visualization technique for the archaeological interpretation of digital terrain models derived from airborne laser scanning. In contrast to various shading techniques, openness is not subject to directional bias and relief features highlighted by openness do not contain any horizontal displacement. Additionally, it offers a clear distinction between relief features and the surrounding topography, while it highlights both the highest and lowest parts of features. This makes openness an ideal tool for mapping and outlining of archaeological features. A comparison with sky-view factor and local relief model visualizations helps to evaluate advantages and limits of the technique.

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Visualisation of LiDAR terrain models for archaeological feature detection

Abstract: LiDAR is developing into a formidable instrument of aerial survey. Here the author shows how the LiDAR picture can be enhanced so that features picked up by illumination from different directions can be combined in one comprehensive survey.

Cited by 161 publications

References 3 publications

Now You See It… Now You Don’t: Understanding Airborne Mapping LiDAR Collection and Data Product Generation for Archaeological Research in Mesoamerica

Now You See It… Now You Don’t: Understanding Airborne Mapping LiDAR Collection and Data Product Generation for Archaeological Research in Mesoamerica

Sky-View Factor as a Relief Visualization Technique

Openness as Visualization Technique for Interpretative Mapping of Airborne Lidar Derived Digital Terrain Models

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