Volume XLI-B3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 783-788, 2016
https://doi.org/10.5194/isprs-archives-XLI-B3-783-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 783-788, 2016
https://doi.org/10.5194/isprs-archives-XLI-B3-783-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  10 Jun 2016

10 Jun 2016

Line Matching Algorithm for Aerial Image Combining image and object space similarity constraints

Jingxue Wang1, Weixi Wang2, Xiaoming Li2, Zhenyu Cao3, Hong Zhu1, Miao Li4, Biao He2, and Zhigang Zhao2 Jingxue Wang et al.
  • 1School of Geomatics, Liaoning Technical University, 123000, Fuxin, Liaoning, China
  • 2Shenzhen Research Center of Digital City Engineering, 518034, Shenzhen, China
  • 3Sichuan Geomatics Center, 610041, Chengdu, China
  • 4National Quality Inspection and Testing Center for Surveying and Mapping Products,100830, Beijing, China

Keywords: Line matching, Aerial Images, Feature matching, Similarity constraint

Abstract. A new straight line matching method for aerial images is proposed in this paper. Compared to previous works, similarity constraints combining radiometric information in image and geometry attributes in object plane are employed in these methods. Firstly, initial candidate lines and the elevation values of lines projection plane are determined by corresponding points in neighborhoods of reference lines. Secondly, project reference line and candidate lines back forward onto the plane, and then similarity measure constraints are enforced to reduce the number of candidates and to determine the finial corresponding lines in a hierarchical way. Thirdly, "one-to-many" and "many-to-one" matching results are transformed into "one-to-one" by merging many lines into the new one, and the errors are eliminated simultaneously. Finally, endpoints of corresponding lines are detected by line expansion process combing with "image-object-image" mapping mode. Experimental results show that the proposed algorithm can be able to obtain reliable line matching results for aerial images.