Hierarchical Models for the Definition and Extraction of Terrain Features

Brändli, Martin

doi:10.1201/9781003062660-22

Cited by 5 publications

(5 citation statements)

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“…Different approaches to this type of georelief segmentation have been introduced by many authors in the literature (pp. 1761-1768, [28]); [29][30][31]. Minar and Evans [32] proposed a comprehensive approach to the elementarization of georelief.…”

Section: Introductionmentioning

confidence: 99%

Aerial Bombing Crater Identification: Exploitation of Precise Digital Terrain Models

Dolejš

Pacina

Veselý

et al. 2020

IJGI

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Places of past conflicts and persistent objects that reflect such events often attract the attention of archaeological prospection which facilitates the construction of conflict narratives. Field prospection as a precise method for localization of aerial bombing craters (as an example of such persistent features) is a highly time- and resource-consuming task. Therefore, methods for automatic identification of such features are evolving. We present a comparison of three methods for possible automatic crater detection based on (a) extraterrestrial crater detection algorithms, (b) geomorphology-based edge extraction, and (c) image pattern recognition via a state-of-the-art convolutional neural network (CNN). All methods were preliminarily tested on a case study of eight Second World War (WWII) aerial bombing crater sites in NW Czechia via Airborne Laser Scanned LiDAR-derived digital terrain models with different spatial resolutions. We found that extraterrestrial crater detection algorithms and geomorphology-based edge extraction methods yield worse results given the standard indices of precision and recall. By comparison, the CNN method utilized for a particular task achieved satisfying results, predominantly with 0.5 m/px resolution (which is often available at the country level) of the input raster. Nevertheless, overall performance with this resolution varies significantly among the sites. Therefore, the quality and readability of the input data are crucial factors for the successful acquisition of precise ordinance location identification.

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Section: Introductionmentioning

confidence: 99%

Aerial Bombing Crater Identification: Exploitation of Precise Digital Terrain Models

Dolejš

Pacina

Veselý

et al. 2020

IJGI

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“…Nonetheless, the surface network is not equivalent to the drainage network as mentioned earlier. First, while streams can be supposed to run towards and through valley thalwegs, ridges are not equivalent to drainage divides [6]. Hence the definition of ridges should be extended to drainage divides that separate the flow and delineate basins.…”

Section: Construction Of the Morse-smale Complex From A Raster Dtmmentioning

confidence: 99%

“…Hence, most pits that mark these depressions on the surface network are seen as spurious pits that hinder the computation of the flow direction. Furthermore, while saddles are seen as critical elements of the surface, they are not seen as significant features of the terrain [6] and are not considered at all in the drainage network.…”

Section: Introductionmentioning

confidence: 99%

Surface network and drainage network: towards a common data structure

Guilbert

Lessard

Perreault

et al. 2023

JOSIS

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The surface network is an application of the Morse-Smale complex to digital terrain models connecting ridges and thalwegs of the terrain in a planar, undirected graph. Although it provides a topological structure embedding critical elements of the terrain, its application to morphological analysis and hydrology remains limited mainly because the drainage network is the most relevant structure for analysis and it cannot be derived from the surface network. The drainage network is a directed, hierarchical graph formed by streams. Ridges of the surface network are not equivalent to drainage divides, which are not contained in the drainage network, and there is no direct association between thalwegs and streams. Therefore, this paper proposes to extend the surface network into a new structure that also embeds the drainage network. This is done by (1) revising the definition of ridges so that they include drainage divides and (2) assigning a flow direction to each thalweg, taking into account spurious depressions to avoid flow interruption. We show that this extended surface network can be used to compute the flow accumulation and different hydrographic features such as drainage basins and the Strahler order. The drainage network extracted from the extended surface network is compared to drainage networks computed with the traditional D8 approach in three case studies. Differences remain minor and are mainly due to the elevation inaccuracy in flat or slightly convex areas. Hence, the extended surface network provides a richer data structure allowing the use of a common topological data structure in both terrain analysis and hydrology.

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“…From a digital perspective, the ground surface is commonly modelled by means of DTM (Brandli, 1996), such as TIN that is an alternative to the dense grid DEM to present terrain surface (Lee, 1991…”

Section: Relief Constructionmentioning

confidence: 99%

3d City Model as a First Step Towards Digital Twin of Sofia City

Dimitrov

Petrova-Antonova

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Semantic 3D city models are increasingly applied for a wide range of analysis and simulations of large urban areas. Such models are used as a foundation for development of city digital twins, representing with high accuracy the landscapes and urban areas as well as dynamic of the city in terms of processes and events. In this context, this paper presents a 3D city model, which is a starting point for development of digital twin of Sofia city. The 3D model is compliant with CityGML 2.0 in LOD1, supporting integration of the buildings and terrain and enriching the buildings’ attributes with address information. District Lozenets of Sofia city is chosen as a pilot area for modelling. An approach for 3D transformation of proprietary geospatial data into CityGML schemas is presented. The integration of the buildings and terrain is an essential part of it, since the buildings often partially float over or sink into the terrain. A web application for user interaction with the 3D city model is developed. Its main features include silhouetting a single building, showing relevant overlay content, displaying shadows and styling of buildings depending on their attributes.

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Hierarchical Models for the Definition and Extraction of Terrain Features

Cited by 5 publications

References 0 publications

Aerial Bombing Crater Identification: Exploitation of Precise Digital Terrain Models

Aerial Bombing Crater Identification: Exploitation of Precise Digital Terrain Models

Surface network and drainage network: towards a common data structure

3d City Model as a First Step Towards Digital Twin of Sofia City

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