Development of Method to automatically select pass points for close range Photogrammetry in dense urban areas

Junichi Susaki; Bhogendra Mishra; Yuki Ota

Development of Method to automatically select pass points for close range Photogrammetry in dense urban areas

Junichi Susaki, Bhogendra Mishra, Yuki Ota

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

Abstract

This paper proposes a methodology to select passpoints from images obtained using close-range photogrammetry. In this method, matches on stereo-pairs are extracted using Scale-Invariant Feature transform (SIFT) (Lowe, 2004), and erroneous matches are removed using Random Sample Consensus (RANSAC) (Fischler et al, 1981). At this stage, a lot of candidates of passpoints are available, and the number of points should be reduced to save computation time for external orientation. Therefore, limited number of passpoints are selected in terms of spatial dispersion by using the score obtained by SIFT. As a result, almost all erroneous matches could be removed and the validation result demonstrated that the accuracy of segment lengths was acceptable.

Original language	English
Title of host publication	Proceeding Joint Urban Remote Sensing Event 2013
Subtitle of host publication	Sao Paulo, Brazil, 21-23 April 2013
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	21
Number of pages	23
ISBN (Electronic)	978-1-4799-0212-5
ISBN (Print)	978-1-4799-0213-2
Publication status	Published - 2013
Externally published	Yes

Keywords

n/a OA procedure

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Cite this

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title = "Development of Method to automatically select pass points for close range Photogrammetry in dense urban areas",

abstract = "This paper proposes a methodology to select passpoints from images obtained using close-range photogrammetry. In this method, matches on stereo-pairs are extracted using Scale-Invariant Feature transform (SIFT) (Lowe, 2004), and erroneous matches are removed using Random Sample Consensus (RANSAC) (Fischler et al, 1981). At this stage, a lot of candidates of passpoints are available, and the number of points should be reduced to save computation time for external orientation. Therefore, limited number of passpoints are selected in terms of spatial dispersion by using the score obtained by SIFT. As a result, almost all erroneous matches could be removed and the validation result demonstrated that the accuracy of segment lengths was acceptable.",

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Development of Method to automatically select pass points for close range Photogrammetry in dense urban areas. / Susaki, Junichi; Mishra, Bhogendra; Ota, Yuki.
Proceeding Joint Urban Remote Sensing Event 2013: Sao Paulo, Brazil, 21-23 April 2013. Piscataway, NJ: IEEE, 2013. p. 21.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Development of Method to automatically select pass points for close range Photogrammetry in dense urban areas

AU - Susaki, Junichi

AU - Mishra, Bhogendra

AU - Ota, Yuki

PY - 2013

Y1 - 2013

N2 - This paper proposes a methodology to select passpoints from images obtained using close-range photogrammetry. In this method, matches on stereo-pairs are extracted using Scale-Invariant Feature transform (SIFT) (Lowe, 2004), and erroneous matches are removed using Random Sample Consensus (RANSAC) (Fischler et al, 1981). At this stage, a lot of candidates of passpoints are available, and the number of points should be reduced to save computation time for external orientation. Therefore, limited number of passpoints are selected in terms of spatial dispersion by using the score obtained by SIFT. As a result, almost all erroneous matches could be removed and the validation result demonstrated that the accuracy of segment lengths was acceptable.

AB - This paper proposes a methodology to select passpoints from images obtained using close-range photogrammetry. In this method, matches on stereo-pairs are extracted using Scale-Invariant Feature transform (SIFT) (Lowe, 2004), and erroneous matches are removed using Random Sample Consensus (RANSAC) (Fischler et al, 1981). At this stage, a lot of candidates of passpoints are available, and the number of points should be reduced to save computation time for external orientation. Therefore, limited number of passpoints are selected in terms of spatial dispersion by using the score obtained by SIFT. As a result, almost all erroneous matches could be removed and the validation result demonstrated that the accuracy of segment lengths was acceptable.

KW - n/a OA procedure

M3 - Chapter

SN - 978-1-4799-0213-2

SP - 21

BT - Proceeding Joint Urban Remote Sensing Event 2013

PB - IEEE

CY - Piscataway, NJ

ER -

Development of Method to automatically select pass points for close range Photogrammetry in dense urban areas

Abstract

Keywords

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