Abstract

In order to adapt to the actual scene of a stereo satellite observing the same area sequentially and improve the accuracy of the target-oriented 3D reconstruction, this paper proposed a building DSM fusion update method based on adaptive splines and target characteristic guidance. This method analyzed the target characteristics of surface building targets to explore their intrinsic geometric structure information, established a nonlinear fusion method guided by the target characteristics to achieve the effective fusion of multiple DSMs on the basis of maintaining the target structural characteristics, and supported the online updating of DSM to ensure the needs of practical engineering applications. This paper presented a DSM fusion method for surface building targets and finally conducted DSM fusion experiments using typical urban area images of different scenes. The experimental results showed that the proposed method can effectively constrain and improve the DSM of buildings, and the integrity of the overall construction of the target 3D model structure was significantly improved, indicating that this paper provides an effective and efficient DSM constraint method for buildings.

Highlights

  • IntroductionThree-dimensional (3D) reconstruction is a new technology that integrates knowledge in the fields of machine vision, image processing, and computer cartography and has characteristics that cannot be compared with 2D pictures

  • Three-dimensional (3D) reconstruction is a research hotspot in the application of computer-aided engineering technology for product and engineering design [1,2,3].Three-dimensional (3D) reconstruction is a new technology that integrates knowledge in the fields of machine vision, image processing, and computer cartography and has characteristics that cannot be compared with 2D pictures

  • In the field of target 3D reconstruction, the main data sources at this stage include digital surface model (DSM) [7], digital elevation model (DEM), digital terrain model (DTM), and airborne LiDAR data [8] generated from aerial imagery and satellite highresolution image interpretation

Read more

Summary

Introduction

Three-dimensional (3D) reconstruction is a new technology that integrates knowledge in the fields of machine vision, image processing, and computer cartography and has characteristics that cannot be compared with 2D pictures. In the field of target 3D reconstruction, the main data sources at this stage include digital surface model (DSM) [7], digital elevation model (DEM), digital terrain model (DTM), and airborne LiDAR data [8] generated from aerial imagery and satellite highresolution image interpretation. Researchers have proposed many methods to implement target 3D model construction based on DSM or LiDAR data, which can be summarized into three categories: model-driven, data-driven, and hybrid-driven methods [9,10,11].

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call