Quality and geometry strength of object point positioning by means of ADS40 photographic intersection

Ruey An Chen, Jaan-Rong Tsay, Yu Han Chang

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

Abstract

In this paper, simulated data and real ADS40 images are adopted for evaluating the quality (accuracy and reliability) and geometry strength (condition number) of object point positioning by means of photographic intersection using conjugate rays in ADS40 images. Tests by using simulated data show that three-ray intersection in a single ADS40 strip provides the horizontal and vertical accuracy of 0.25 and 0.55 pixels, respectively. For the nine-ray intersection in three parallel strips, the horizontal and vertical accuracy is 0.14 pixels and 0.19 pixels, which is increased by 44% and 65% respectively. Tests of real ADS40 images show the horizontal and vertical accuracy on the images is about 0.5 and 0.6 pixels, respectively. The more conjugate rays, the better the accuracy and reliability. Moreover, the optimal angle between forward and nadir direction is 24°, which is close to the angle adopted currently by the ADS40 (26°).

Original languageEnglish
Title of host publication34th Asian Conference on Remote Sensing 2013, ACRS 2013
PublisherAsian Association on Remote Sensing
Pages320-327
Number of pages8
ISBN (Print)9781629939100
Publication statusPublished - 2013 Jan 1
Event34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
Duration: 2013 Oct 202013 Oct 24

Publication series

Name34th Asian Conference on Remote Sensing 2013, ACRS 2013
Volume1

Other

Other34th Asian Conference on Remote Sensing 2013, ACRS 2013
CountryIndonesia
CityBali
Period13-10-2013-10-24

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Chen, R. A., Tsay, J-R., & Chang, Y. H. (2013). Quality and geometry strength of object point positioning by means of ADS40 photographic intersection. In 34th Asian Conference on Remote Sensing 2013, ACRS 2013 (pp. 320-327). (34th Asian Conference on Remote Sensing 2013, ACRS 2013; Vol. 1). Asian Association on Remote Sensing.