دورية أكاديمية

GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION

التفاصيل البيبلوغرافية
العنوان: GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION
المؤلفون: H. Yi, X. Chen, D. Wang, S. Du, B. Xu
المصدر: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 533-539 (2020)
بيانات النشر: Copernicus Publications, 2020.
سنة النشر: 2020
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Applied optics. Photonics
مصطلحات موضوعية: Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
الوصف: The quality of the 3D model reconstructed using multi-view satellite image depends on the quality of the image. To evaluate the geometric quality of the satellite image, we proposed a method to evaluate the geometric distortion for satellite images and defined the deviation coefficient as a metric to evaluate the bending degree of a curve. After projecting a ground grid consisting of straight lines into the image space, the geometric distortion of the image can be evaluated quantitatively by calculating the deviation coefficients of the projection trajectories. Experiments have been carried out with three datasets obtained by JiLin-1, GaoFen-2, and WorldView-3 respectively. The results show that the proposed method can used to evaluate the geometric quality of satellite images effectively, and this evaluation method will be useful in image selecting in 3D reconstruction using multi-view satellite images.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1682-1750
2194-9034
Relation: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/533/2020/isprs-archives-XLIII-B2-2020-533-2020.pdf; https://doaj.org/toc/1682-1750; https://doaj.org/toc/2194-9034
DOI: 10.5194/isprs-archives-XLIII-B2-2020-533-2020
URL الوصول: https://doaj.org/article/837dd03ca733422baadbcff192b81fc8
رقم الأكسشن: edsdoj.837dd03ca733422baadbcff192b81fc8
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16821750
21949034
DOI:10.5194/isprs-archives-XLIII-B2-2020-533-2020