Orthorectification of Fisheye Image under Equidistant Projection Model

The fisheye camera, with its large viewing angle, can acquire more spatial information in one shot and is widely used in many fields. However, a fisheye image contains large distortion, resulting in that many scholars have investigated its accuracy of orthorectification, i.e., generation of digital...

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Main Authors: Guoqing Zhou, Huanxu Li, Ruhao Song, Qingyang Wang, Jiasheng Xu, Bo Song
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/17/4175
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author Guoqing Zhou
Huanxu Li
Ruhao Song
Qingyang Wang
Jiasheng Xu
Bo Song
author_facet Guoqing Zhou
Huanxu Li
Ruhao Song
Qingyang Wang
Jiasheng Xu
Bo Song
author_sort Guoqing Zhou
collection DOAJ
description The fisheye camera, with its large viewing angle, can acquire more spatial information in one shot and is widely used in many fields. However, a fisheye image contains large distortion, resulting in that many scholars have investigated its accuracy of orthorectification, i.e., generation of digital orthophoto map (DOM). This paper presents an orthorectification method, which first determines the transformation relationship between the fisheye image points and the perspective projection points according to the equidistant projection model, i.e., determines the spherical distortion of the fisheye image; then introduces the transformation relationship and the fisheye camera distortion model into the collinearity equation to derive the fisheye image orthorectification model. To verify the proposed method, high accuracy of the fisheye camera 3D calibration field is established to obtain the interior and exterior orientation parameters (IOPs/EOPs) and distortion parameters of the fisheye lens. Three experiments are used to verify the proposed orthorectification method. The root mean square errors (RMSEs) of the three DOMs are averagely 0.003 m, 0.29 m, and 0.61 m, respectively. The experimental results demonstrate that the proposed method is correct and effective.
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spelling doaj.art-dc17d8de700f41288d088fd462e3fb212023-11-23T14:02:10ZengMDPI AGRemote Sensing2072-42922022-08-011417417510.3390/rs14174175Orthorectification of Fisheye Image under Equidistant Projection ModelGuoqing Zhou0Huanxu Li1Ruhao Song2Qingyang Wang3Jiasheng Xu4Bo Song5College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, ChinaGuangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, No. 12 Jian’gan Road, Guilin 541004, ChinaGuangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, No. 12 Jian’gan Road, Guilin 541004, ChinaGuangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, No. 12 Jian’gan Road, Guilin 541004, ChinaThe fisheye camera, with its large viewing angle, can acquire more spatial information in one shot and is widely used in many fields. However, a fisheye image contains large distortion, resulting in that many scholars have investigated its accuracy of orthorectification, i.e., generation of digital orthophoto map (DOM). This paper presents an orthorectification method, which first determines the transformation relationship between the fisheye image points and the perspective projection points according to the equidistant projection model, i.e., determines the spherical distortion of the fisheye image; then introduces the transformation relationship and the fisheye camera distortion model into the collinearity equation to derive the fisheye image orthorectification model. To verify the proposed method, high accuracy of the fisheye camera 3D calibration field is established to obtain the interior and exterior orientation parameters (IOPs/EOPs) and distortion parameters of the fisheye lens. Three experiments are used to verify the proposed orthorectification method. The root mean square errors (RMSEs) of the three DOMs are averagely 0.003 m, 0.29 m, and 0.61 m, respectively. The experimental results demonstrate that the proposed method is correct and effective.https://www.mdpi.com/2072-4292/14/17/4175fisheye cameraequidistant projectionorthorectificationdistortion correctioncamera calibration
spellingShingle Guoqing Zhou
Huanxu Li
Ruhao Song
Qingyang Wang
Jiasheng Xu
Bo Song
Orthorectification of Fisheye Image under Equidistant Projection Model
Remote Sensing
fisheye camera
equidistant projection
orthorectification
distortion correction
camera calibration
title Orthorectification of Fisheye Image under Equidistant Projection Model
title_full Orthorectification of Fisheye Image under Equidistant Projection Model
title_fullStr Orthorectification of Fisheye Image under Equidistant Projection Model
title_full_unstemmed Orthorectification of Fisheye Image under Equidistant Projection Model
title_short Orthorectification of Fisheye Image under Equidistant Projection Model
title_sort orthorectification of fisheye image under equidistant projection model
topic fisheye camera
equidistant projection
orthorectification
distortion correction
camera calibration
url https://www.mdpi.com/2072-4292/14/17/4175
work_keys_str_mv AT guoqingzhou orthorectificationoffisheyeimageunderequidistantprojectionmodel
AT huanxuli orthorectificationoffisheyeimageunderequidistantprojectionmodel
AT ruhaosong orthorectificationoffisheyeimageunderequidistantprojectionmodel
AT qingyangwang orthorectificationoffisheyeimageunderequidistantprojectionmodel
AT jiashengxu orthorectificationoffisheyeimageunderequidistantprojectionmodel
AT bosong orthorectificationoffisheyeimageunderequidistantprojectionmodel