A Metric for Polygon Comparison and Building Extraction Evaluation

Avbelj, Janja; Müller, Rupert; Bamler, Richard

doi:10.1109/lgrs.2014.2330695

Cited by 61 publications

(48 citation statements)

References 14 publications

(35 reference statements)

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“…Several evaluation approaches have been used in the literature, including object‐based, area‐based and RMSE (Rutzinger et al., ; Rottensteiner et al., ), together with polygon and line segments (PoLiS) (Avbelj et al., ). The area‐based approach (using completeness, correctness and quality) was chosen to cover all quality aspects (Potůčková and Hofman, ) and the results are presented in the left‐hand part of Table .…”

Section: Discussionmentioning

confidence: 99%

Building detection and regularisation using DSM and imagery information

Mousa

Helmholz

Belton

et al. 2019

The Photogrammetric Record

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An automatic method for the regularisation of building outlines is presented, utilising a combination of data‐ and model‐driven approaches to provide a robust solution. The core part of the method includes a novel data‐driven approach to generate approximate building polygons from a list of given boundary points. The algorithm iteratively calculates and stores likelihood values between an arbitrary starting boundary point and each of the following boundary points using a function derived from the geometrical properties of a building. As a preprocessing step, building segments have to be identified using a robust algorithm for the extraction of a digital elevation model. Evaluation results on a challenging dataset achieved an average correctness of 96·3% and 95·7% for building detection and regularisation, respectively.

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Section: Discussionmentioning

confidence: 99%

Building detection and regularisation using DSM and imagery information

Mousa

Helmholz

Belton

et al. 2019

The Photogrammetric Record

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“…However, such a non-monotonic response to slight alterations is not desirable in our approach. On the other hand, the PoLiS [4] metric, proposed by Avbelj et. al., is an alternative distance function, which is more promising and seems to be a better fit.…”

Section: Class II Comparisonmentioning

confidence: 99%

An IR-based approach towards automated integration of geo-spatial datasets in map-based software systems

Miryeganeh

Amoui²,

Hemmati

2019

Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of

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Data is arguably the most valuable asset of the modern world. In this era, the success of any data-intensive solution relies on the quality of data that drives it. Among vast amount of data that are captured, managed, and analyzed everyday, geospatial data are one of the most interesting class of data that hold geographical information of real-world phenomena and can be visualized as digital maps. Geo-spatial data is the source of many enterprise solutions that provide local information and insights. Companies often aggregate geospacial datasets from various sources in order to increase the quality of such solutions. However, a lack of a global standard model for geospatial datasets makes the task of merging and integrating datasets difficult and error prone. Traditionally, this aggregation was accomplished by domain experts manually validating the data integration process by merging new data sources and/or new versions of previous data against conflicts and other requirement violations. However, this manual approach is not scalable is a hinder toward rapid release when dealing with big datasets which change frequently. Thus more automated approaches with limited interaction with domain experts is required. As a first step to tackle this problem, we have leveraged Information Retrieval (IR) and geospatial search techniques to propose a systematic and automated conflict identification approach. To evaluate our approach, we conduct a case study in which we measure the accuracy of our approach in several real-world scenarios and followed by interviews with Localintel Inc. software developers to get their feedbacks.

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“…3) Quantitative Evaluation: For a quantitative evaluation of the extracted building outlines, we compare them to the reference data using a newly introduced metric, namely Polygons and Line Segment (PoLiS) [35]. The PoLiS metric has been proposed for measuring the similarity of any two polygons [35]. It is a positive-definite and symmetric function which satisfies the triangle inequality.…”

Section: B Building Outline Extractionmentioning

confidence: 99%

Building Outline Extraction Using a Heuristic Approach Based on Generalization of Line Segments

Partovi

Bahmanyar

Kraus

et al. 2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Efficient and fully automatic building outline extraction and simplification methods are highly demanded for 3D model reconstruction tasks. In spite of the efforts put into developing such methods, the results of the recently proposed methods are still not satisfactory, especially for satellite images, due to object complexities and the presence of noise. Dealing with this problem, in this article, we propose a new approach which detects rough building boundaries (building mask) from Digital Surface Model (DSM) data, and then refines the resulting mask by classifying the geometrical features of the high spatial resolution panchromatic satellite image. The refined mask represents finer details of the building outlines which are close to the original building edges. These outlines are then simplified through a parameterization phase, where a tracing algorithm detects the building boundary points from the refined masks and a set of line segments is fitted to them. After that, for each building, the existing main orientations are determined based on the length and arc lengths of the building's line segments. Our method is able to determine the multiple main orientations of complex buildings. Through a regularization process, the line segments are then aligned and adjusted according to the building's main orientations. Finally, the adjusted line segments are intersected and connected to each other in order to form a polygon representing the building's outlines. Experimental results demonstrate that the computed building outlines are highly accurate and simple, even for large and complex buildings with inner yards.

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A Metric for Polygon Comparison and Building Extraction Evaluation

Cited by 61 publications

References 14 publications

Building detection and regularisation using DSM and imagery information

Building detection and regularisation using DSM and imagery information

An IR-based approach towards automated integration of geo-spatial datasets in map-based software systems

Building Outline Extraction Using a Heuristic Approach Based on Generalization of Line Segments

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