A Comparison of Evaluation Techniques for Building Extraction From Airborne Laser Scanning
By M. Rutzinger, Franz Rottensteiner, Norbert Pfeifer. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2009
330 citations recorded by the source corpus.
In this paper, different methods for the evaluation of building detection algorithms are compared. Whereas pixel-based evaluation gives estimates of the area that is correctly classified, the results are distorted by errors at the building outlines. These distortions are potentially in an order of 30%. Object-based evaluation techniques are less affected by such errors. However, the performance metrics thus delivered are sometimes considered to be less objective, because the definition of a ldquocorrect detectionrdquo is not unique. Based on a critical review of existing performance metrics, selected methods for the evaluation of building detection results are presented. These methods are used to evaluate the results of two different building detection algorithms in two test sites. A comparison of the evaluation techniques shows that they highlight different properties of the building detection results. As a consequence, a comprehensive evaluation strategy involving quality metrics derived by different methods is proposed.
Subfields: Ecology, Environmental Engineering, Geology
View Paper: https://www.semanticscholar.org/paper/6344d3f3a4e9a90166c46f8e56d7986c5b0fcfcb
How researchers see this paper
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In Ecology
- Uwe Soergel
- Joachim Niemeyer
- S. Bénitez
- Markus Gerke
- Franz Rottensteiner
- Gunho Sohn
- Caroline Baillard
- U. Breitkopf
In Environmental Engineering
- Uwe Soergel
- Joachim Niemeyer
- S. Bénitez
- Markus Gerke
- Franz Rottensteiner
- Gunho Sohn
- Caroline Baillard
- U. Breitkopf
In Geology
- Uwe Soergel
- Joachim Niemeyer
- S. Bénitez
- Markus Gerke
- Franz Rottensteiner
- Gunho Sohn
- Caroline Baillard
- U. Breitkopf
Citations in the corpus
- The ISPRS benchmark on urban object classification and 3D building reconstruction (2012, methodology): “For the evaluation of the thematic accuracy, the method described in (Rutzinger et al., 2009) was used.”
- Contextual classification of lidar data and building object detection in urban areas (2014, methodology): “The Quality, which is defined as (Rutzinger et al., 2009): Quality ¼ 1 Completeness 1 þ Correctness 1 1 ; ð14Þ takes values from 86.3% to 88.9%.”