AUTOMATIC SHAPE-BASED TARGET EXTRACTION FOR CLOSE-RANGE PHOTOGRAMMETRY

被引：5

作者：

Guo, X. ^{[1
]}

Chen, Y. ^{[1
]}

Wang, C. ^{[1
]}

Cheng, M. ^{[1
]}

Wen, C. ^{[1
]}

Yu, J. ^{[2
]}

机构：

[1] Xiamen Univ, Sch Informat Sci & Engn, Fujian Key Lab Sensing & Comp Smart Cities, Xiamen 361005, Fujian, Peoples R China

[2] China Elect Technol Grp Corp, Key Lab Aerosp Informat Applicat Technol, Shijiazhuang 150081, Hebei, Peoples R China

来源：

XXIII ISPRS CONGRESS, COMMISSION I | 2016年 / 41卷 / B1期

基金：

中国国家自然科学基金;

关键词：

Target extraction; close-range photogrammetry; coded target; shape-based matching;

D O I：

10.5194/isprsarchives-XLI-B1-583-2016

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

In order to perform precise identification and location of artificial coded targets in natural scenes, a novel design of circle-based coded target and the corresponding coarse-fine extraction algorithm are presented. The designed target separates the target box and coding box totally and owns an advantage of rotation invariance. Based on the original target, templates are prepared by three geometric transformations and are used as the input of shape-based template matching. Finally, region growing and parity check methods are used to extract the coded targets as final results. No human involvement is required except for the preparation of templates and adjustment of thresholds in the beginning, which is conducive to the automation of close-range photogrammetry. The experimental results show that the proposed recognition method for the designed coded target is robust and accurate.

引用

页码：583 / 587

页数：5

共 17 条

[1] Circular coded target for automation of optical 3D-measurement and camera calibration [J].