Quality of MMS forward-photographed image intersection

Wen Hau Lan, Jaan Rong Tsay, Yen Ting Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper studies the quality of object point positioning by means of image intersection by using close-range images forward taken on a land-based MMS van driving along a street. Due to the weak geometry of intersection of multiple corresponding image rays, photo triangulation often diverges or provides worse results. Nevertheless, the problems can be solved so that the positioning accuracy still suits for updating 1/1000 maps. Tests are done by using different sets of images with diverse baseline lengths, constraint data, image point distributions, and different number of images. All corresponding image points are measured either by SIFT or manually. In each photogrammetric intersection network, the geometric strength figures are analyzed such as inner reliability, lengths and directions of semi-axes of error ellipses, as well as the standard deviations of ground coordinates. Also, a number of ground check points are used to evaluate the quality of the results. They demonstrate that, under a proper constraint configuration, the positioning technique is available for cartography of 1/1000 maps. For example, by using three full control points, the average accuracy of ground coordinates reaches 9∼15cm.

Original languageEnglish
Title of host publication32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Pages2744-2749
Number of pages6
Publication statusPublished - 2011 Dec 1
Event32nd Asian Conference on Remote Sensing 2011, ACRS 2011 - Tapei, Taiwan
Duration: 2011 Oct 32011 Oct 7

Publication series

Name32nd Asian Conference on Remote Sensing 2011, ACRS 2011
Volume4

Other

Other32nd Asian Conference on Remote Sensing 2011, ACRS 2011
CountryTaiwan
CityTapei
Period11-10-0311-10-07

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Quality of MMS forward-photographed image intersection'. Together they form a unique fingerprint.

Cite this