RELATIVE ORIENTATION IN LOW ALTITUDE PHOTOGRAMMETRY SURVEY

Relative orientation is always considered as a key technique, not only in traditional photogrammetry, but also in low altitude photogrammetry. Low altitude images are mainly obtained by general digital cameras on UAV, they have characteristics of small format, large tilt angle and high-overlap in...

Full description

Bibliographic Details
Main Authors: J. Wang, Z. Lin, C. Ren
Format: Article
Language:English
Published: Copernicus Publications 2012-07-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B1/463/2012/isprsarchives-XXXIX-B1-463-2012.pdf
_version_ 1811332880898457600
author J. Wang
Z. Lin
C. Ren
author_facet J. Wang
Z. Lin
C. Ren
author_sort J. Wang
collection DOAJ
description Relative orientation is always considered as a key technique, not only in traditional photogrammetry, but also in low altitude photogrammetry. Low altitude images are mainly obtained by general digital cameras on UAV, they have characteristics of small format, large tilt angle and high-overlap in sequence. These distinctions from traditional images urgently call for a new reliable way to recover the relative pose between two adjacent images. For example, better initial values of relative orientation elements are required in the iteration process due to the large roll angle and yaw angle. Also, a more stable and efficient adjustment method should be proposed for the high-overlap images. In this paper, the Direct (D) relative orientation method is firstly used to get coarse values of the relative orientation parameters, then the Conventional (C) relative orientation process is implemented, using the coarse values as initial values in the first iterative calculation. And RANSAC (R) algorithm is finally applied in locating and extracting gross errors in relative orientation. The three steps above form our execution—DCR—to solve relative orientation problem in low altitude photogrammetry. Practical images have been used later to test the DCR method on accuracy and precision of the relative orientation parameters. Our experimental results show that the proposed approach is feasible and can achieve more reliable relative orientation results than the conventional approach.
first_indexed 2024-04-13T16:43:41Z
format Article
id doaj.art-747458f267344f4e82819db8498a7403
institution Directory Open Access Journal
issn 1682-1750
2194-9034
language English
last_indexed 2024-04-13T16:43:41Z
publishDate 2012-07-01
publisher Copernicus Publications
record_format Article
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
spelling doaj.art-747458f267344f4e82819db8498a74032022-12-22T02:39:09ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-07-01XXXIX-B146346710.5194/isprsarchives-XXXIX-B1-463-2012RELATIVE ORIENTATION IN LOW ALTITUDE PHOTOGRAMMETRY SURVEYJ. Wang0Z. Lin1C. Ren2School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China,Chinese Academy of Surveying and Mapping, 16 Beitaiping Road, Haidian District, Beijing 100039, China,School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China,Relative orientation is always considered as a key technique, not only in traditional photogrammetry, but also in low altitude photogrammetry. Low altitude images are mainly obtained by general digital cameras on UAV, they have characteristics of small format, large tilt angle and high-overlap in sequence. These distinctions from traditional images urgently call for a new reliable way to recover the relative pose between two adjacent images. For example, better initial values of relative orientation elements are required in the iteration process due to the large roll angle and yaw angle. Also, a more stable and efficient adjustment method should be proposed for the high-overlap images. In this paper, the Direct (D) relative orientation method is firstly used to get coarse values of the relative orientation parameters, then the Conventional (C) relative orientation process is implemented, using the coarse values as initial values in the first iterative calculation. And RANSAC (R) algorithm is finally applied in locating and extracting gross errors in relative orientation. The three steps above form our execution—DCR—to solve relative orientation problem in low altitude photogrammetry. Practical images have been used later to test the DCR method on accuracy and precision of the relative orientation parameters. Our experimental results show that the proposed approach is feasible and can achieve more reliable relative orientation results than the conventional approach.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B1/463/2012/isprsarchives-XXXIX-B1-463-2012.pdf
spellingShingle J. Wang
Z. Lin
C. Ren
RELATIVE ORIENTATION IN LOW ALTITUDE PHOTOGRAMMETRY SURVEY
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title RELATIVE ORIENTATION IN LOW ALTITUDE PHOTOGRAMMETRY SURVEY
title_full RELATIVE ORIENTATION IN LOW ALTITUDE PHOTOGRAMMETRY SURVEY
title_fullStr RELATIVE ORIENTATION IN LOW ALTITUDE PHOTOGRAMMETRY SURVEY
title_full_unstemmed RELATIVE ORIENTATION IN LOW ALTITUDE PHOTOGRAMMETRY SURVEY
title_short RELATIVE ORIENTATION IN LOW ALTITUDE PHOTOGRAMMETRY SURVEY
title_sort relative orientation in low altitude photogrammetry survey
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B1/463/2012/isprsarchives-XXXIX-B1-463-2012.pdf
work_keys_str_mv AT jwang relativeorientationinlowaltitudephotogrammetrysurvey
AT zlin relativeorientationinlowaltitudephotogrammetrysurvey
AT cren relativeorientationinlowaltitudephotogrammetrysurvey