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Automatic digital surface model (DSM) generation from aerial imagery data
Author(s): Nan Zhou; Shixiang Cao; Hongyan He; Kun Xing; Chunyu Yue
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Paper Abstract

Aerial sensors are widely used to acquire imagery for photogrammetric and remote sensing application. In general, the images have large overlapped region, which provide a lot of redundant geometry and radiation information for matching. This paper presents a POS supported dense matching procedure for automatic DSM generation from aerial imagery data. The method uses a coarse-to-fine hierarchical strategy with an effective combination of several image matching algorithms: image radiation pre-processing, image pyramid generation, feature point extraction and grid point generation, multi-image geometrically constraint cross-correlation (MIG3C), global relaxation optimization, multi-image geometrically constrained least squares matching (MIGCLSM), TIN generation and point cloud filtering. The image radiation pre-processing is used in order to reduce the effects of the inherent radiometric problems and optimize the images. The presented approach essentially consists of 3 components: feature point extraction and matching procedure, grid point matching procedure and relational matching procedure. The MIGCLSM method is used to achieve potentially sub-pixel accuracy matches and identify some inaccurate and possibly false matches. The feasibility of the method has been tested on different aerial scale images with different landcover types. The accuracy evaluation is based on the comparison between the automatic extracted DSMs derived from the precise exterior orientation parameters (EOPs) and the POS.

Paper Details

Date Published: 10 April 2018
PDF: 9 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153K (10 April 2018); doi: 10.1117/12.2303406
Show Author Affiliations
Nan Zhou, Beijing Institute of Space Mechanics and Electricity (China)
Shixiang Cao, Beijing Institute of Space Mechanics and Electricity (China)
Hongyan He, Beijing Institute of Space Mechanics and Electricity (China)
Kun Xing, Beijing Institute of Space Mechanics and Electricity (China)
Chunyu Yue, Beijing Institute of Space Mechanics and Electricity (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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