PHOTOGRAMMETRY NOW AND THEN – FROM HAND-CRAFTED TO DEEP-LEARNING TIE POINTS –

نویسندگان

چکیده

Abstract. Historical images provide a valuable source of information exploited by several kinds applications, such as the monitoring cities and territories, reconstruction destroyed buildings, are increasingly being shared for cultural promotion projects through virtual reality or augmented applications. Finding reliable accurate matches between historical present is fundamental step tasks since they require to co-register 3D scene with past one. Classical image matching solutions sensitive strong radiometric variations within images, which particularly relevant in these multi-temporal contexts due different types media (film/sensors) employed acquisitions, lighting conditions viewpoint angles. In this work, we investigate actual improvement provided recent deep learning approaches match nowadays images. As learning-based methods have been trained find challenging scenarios, including large illumination changes, could overcome limitations classic hand-crafted SIFT ORB. The most proposed research community last years analyzed compared using pairs

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ژورنال

عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

سال: 2022

ISSN: ['1682-1777', '1682-1750', '2194-9034']

DOI: https://doi.org/10.5194/isprs-archives-xlviii-2-w1-2022-163-2022