期刊
REMOTE SENSING
卷 12, 期 12, 页码 -出版社
MDPI
DOI: 10.3390/rs12121943
关键词
height adjustment; co-registration; digital aerial photogrammetry (DAP); Urban environment; aerial imaging; airborne laser scanning
类别
资金
- Finnish Forest Centre
- Academy of Finland through ALS4D (the Research Council for Natural Sciences and Engineering) [295341]
- Academy of Finland through FORBIO (the Strategic Research Council) [314224]
- Academy of Finland (AKA) [295341, 295341] Funding Source: Academy of Finland (AKA)
Globally, urban areas are rapidly expanding and high-quality remote sensing products are essential to help guide such development towards efficient and sustainable pathways. Here, we present an algorithm to address a common problem in digital aerial photogrammetry (DAP)-based image point clouds: vertical mis-registration. The algorithm uses the ground as inferred from airborne laser scanning (ALS) data as a reference surface and re-aligns individual point clouds to this surface. We demonstrate the effectiveness of the proposed method for the city of Kuopio, in central Finland. Here, we use the standard deviation of the vertical coordinate values as a measure of the mis-registration. We show that such standard deviation decreased substantially (more than 1.0 m) for a large proportion (23.2%) of the study area. Moreover, it was shown that the method performed better in urban and suburban areas, compared to vegetated areas (parks, forested areas, and so on). Hence, we demonstrate that the proposed algorithm is a simple and effective method to improve the quality and usability of DAP-based point clouds in urban areas.
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