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...
Main Authors: | , , |
---|---|
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 |