NEW DTM EXTRACTION APPROACH FROM AIRBORNE IMAGES DERIVED DSM
| Autor: | David Belton, Petra Helmholz, Yousif A. Mousa |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Surface (mathematics)
lcsh:Applied optics. Photonics 010504 meteorology & atmospheric sciences Pixel business.industry lcsh:T 0211 other engineering and technologies lcsh:TA1501-1820 02 engineering and technology 01 natural sciences lcsh:Technology Maxima and minima Lidar Geography lcsh:TA1-2040 Benchmark (surveying) Point (geometry) Computer vision Artificial intelligence business Digital elevation model lcsh:Engineering (General). Civil engineering (General) 021101 geological & geomatics engineering 0105 earth and related environmental sciences Interpolation |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1-W1, Pp 75-82 (2017) |
| ISSN: | 2194-9034 1682-1750 |
| Popis: | In this work, a new filtering approach is proposed for a fully automatic Digital Terrain Model (DTM) extraction from very high resolution airborne images derived Digital Surface Models (DSMs). Our approach represents an enhancement of the existing DTM extraction algorithm Multi-directional and Slope Dependent (MSD) by proposing parameters that are more reliable for the selection of ground pixels and the pixelwise classification. To achieve this, four main steps are implemented: Firstly, 8 well-distributed scanlines are used to search for minima as a ground point within a pre-defined filtering window size. These selected ground points are stored with their positions on a 2D surface to create a network of ground points. Then, an initial DTM is created using an interpolation method to fill the gaps in the 2D surface. Afterwards, a pixel to pixel comparison between the initial DTM and the original DSM is performed utilising pixelwise classification of ground and non-ground pixels by applying a vertical height threshold. Finally, the pixels classified as non-ground are removed and the remaining holes are filled. The approach is evaluated using the Vaihingen benchmark dataset provided by the ISPRS working group III/4. The evaluation includes the comparison of our approach, denoted as Network of Ground Points (NGPs) algorithm, with the DTM created based on MSD as well as a reference DTM generated from LiDAR data. The results show that our proposed approach over performs the MSD approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|