线阵全景相机检校模型研究

徐芳; 梅文胜; 张利

doi:10.13203/j.whugis20120177

线阵全景相机检校模型研究

¹ 武汉大学测绘学院,湖北武汉,430079

基金项目: 国家自然科学基金资助项目(41071292)

详细信息

作者简介:
徐芳,博士,副教授,研究方向为近景摄影测量和遥感影像解译。

中图分类号: P231.5
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- 文章访问数: 1977
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出版历程
- 收稿日期: 2013-03-19
- 修回日期: 2014-04-04
- 发布日期: 2014-04-04

The Calibration Model of Linear Array Panoramic Cameras

¹School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China

Funds: remote sensing images with high resolution|rubber woods|information extraction|classi-fication by decision treeFirst Author:YANG Hongwei,associated professor,PhD candidate.He is interested in remote sensing imagery processing and applica-tion.E-mail:40143704@qq.comFoundation item:The Natural Science Fund of Hainan Province,No.807019;The Youth Fund of Hainan University 2010,No.gnjj1024.

More Information

Author Bio:
XU Fang,PhD,associated professor,specializeds in the close-range photogrammetry and remote sensing image interpreta-tion.

摘要

摘要: 目的线阵全景相机通过线阵旋转来获取水平角可达360°场景的影像,将其应用于近景摄影测量可减少摄站数,避免影像拼接问题。分析了线阵全景相机检校的几何成像模型,推导了平差函数模型,并分别用模拟和实际全景控制场数据验证了该平差函数模型,结果表明该模型参数选择合理,正确描述了线阵全景相机的内部结构关系,是线阵全景相机的一种实用检校模型。
- 线阵全景相机 /
- 检校模型 /
- 偏心距 /
- 线阵倾斜
Abstract: Objective In order to accurately and quickly extract the information of rubber woods,a new informa-tion extraction method of rubber woods distribution was designed based on textural features and multi-spectrum features of remote sensing images with high resolution,and the detail process as follow:firstly,choose suitable vegetable index;secondly,acquire the best texture extraction window throughsemi-variance statistical analysis of the images of vegetable index and multi-spectrum and extract tex-ture information of remote sensing images;at last,build new classification rules based on texture in-formation and spectrum information of remote sensing image with high resolution and realize the newmethod by using the arithmetic of C5.0decision tree.The new method was putted in practiced in re-mote sensing images with high resolution of GuangBa farm DongFang city,HaiNan Province.The re-sults showed that the producer’s accuracy,user’s accuracy and total accuracy of rubber woods is are81.00%,82.65%,and 83.50%respectively,and the kappa coefficient is 0.78.The results that com-paring with other classification methods indicated the method is valid for rubber woods identification.
- linear array panoramic camera /
- calibration model /
- eccentricity /
- inclination and tilt of thelinear array