Abstract
Airborne photogrammetry and airborne laser scanning are two commonly used technologies used for topographical data acquisition at the city level. Change detection between airborne laser scanning data and photogrammetric data is challenging since the two point clouds show different characteristics. After comparing the two types of point clouds, this paper proposes a feed-forward Convolutional Neural Network (CNN) to detect building changes between them. The motivation from an application point of view is that the multimodal point clouds might be available for different epochs. Our method contains three steps: First, the point clouds and orthoimages are converted to raster images. Second, square patches are cropped from raster images and then fed into CNN for change detection. Finally, the original change map is post-processed with a simple connected component analysis. Experimental results show that the patch-based recall rate reaches 0.8146 and the precision rate reaches 0.7632. Object-based evaluation shows that 74 out of 86 building changes are correctly detected.
Original language | English |
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Title of host publication | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Subtitle of host publication | ISPRS Geospatial Week 2019 |
Editors | G. Vosselman, S.J. Oude Elberink, M.Y. Wang |
Place of Publication | Enschede |
Publisher | International Society for Photogrammetry and Remote Sensing (ISPRS) |
Pages | 453-460 |
Number of pages | 8 |
Volume | IV |
Edition | 2/W5 |
DOIs | |
Publication status | Published - 29 May 2019 |
Event | 4th ISPRS Geospatial Week 2019 - University of Twente, Enschede, Netherlands Duration: 10 Jun 2019 → 14 Jun 2019 Conference number: 4 https://www.gsw2019.org/ |
Publication series
Name | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Publisher | Copernicus |
ISSN (Print) | 2194-9042 |
Conference
Conference | 4th ISPRS Geospatial Week 2019 |
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Country/Territory | Netherlands |
City | Enschede |
Period | 10/06/19 → 14/06/19 |
Internet address |
Keywords
- ITC-GOLD
- Digital Surface Model (DSM)
- Change Detection
- Airborne Laser Scanning
- Dense Image Matching
- Convolutional Neural Network (CNN)