Open AccessLine Matching Algorithm for Aerial Image Combining image and object space similarity constraints
Author(s) -
Jingxue Wang,
Weixi Wang,
Xiaoming Li,
Zhenyu Cao,
Hong Zhu,
Miao Li,
Bin He,
Zhentang Zhao
Publication year - 2016
Publication title -
the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 71
eISSN - 1682-1777
pISSN - 1682-1750
DOI - 10.5194/isprsarchives-xli-b3-783-2016
Subject(s) - aerial image , similarity (geometry) , line (geometry) , matching (statistics) , artificial intelligence , plane (geometry) , computer vision , image plane , line segment , projection (relational algebra) , image (mathematics) , computer science , similarity measure , measure (data warehouse) , object (grammar) , projection plane , pattern recognition (psychology) , algorithm , mathematics , geometry , data mining , statistics
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.