نویسندگان | Mojtaba Akhoundi Khezrabad - Mohammad Javad Valadan Zoej - Alireza Safdarinezhad |
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نشریه | Measurement |
ارائه به نام دانشگاه | دانشگاه تفرش |
شماره سریال | 111431 |
شماره مجلد | 2022 |
ضریب تاثیر (IF) | 5.131 |
نوع مقاله | Original Research |
تاریخ انتشار | 2022-06-09 |
رتبه نشریه | ISI |
نوع نشریه | الکترونیکی |
کشور محل چاپ | هلند |
نمایه نشریه | https://www.sciencedirect.com/journal/measurement |
چکیده مقاله
Video-assisted navigation is a strategy that hyperspectral camera manufacturers usually use to deal with the geometric distortions imposed on raw pushbroom images due to perturbations. In this strategy, a simultaneous video is captured during a pushbroom raw image acquisition. This article proposes an automatic geometric correction method applicable to the sensors utilizing this strategy and does not need ground control data. This method starts with an inter-calibration procedure between the two sensors, which allows using frame-based images in the correction procedure. Then, the method uses sequential transformations among consecutive video frames to produce geometrically corrected products. The experimental results demonstrate that the proposed method's sequential nature makes it so flexible that it causes more reduction in the scenes' random geometric distortions than the common methods. Hence, the accuracy of 2D and 3D transformations relating image and ground spaces is increased by 66.9% compared to raw pushbroom images.
tags: camera calibration; geometric correction; hyperspectral images; pushbroom images; video-assisted navigation