DEEP LEARNING FOR CODED TARGET DETECTION
نویسندگان
چکیده
Abstract. Coded targets are physical optical markers that can be easily identified in an image. Their detection is a critical step the process of camera calibration. A wide range coded was developed to date. The differ their decoding algorithms. main limitation existing methods low robustness new backgrounds and illumination conditions. Modern deep learning recognition-based algorithms demonstrate exciting progress object performance low-light conditions or environments. This paper focused on development convolutional network for automatic recognition sub-pixel estimation centers.
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2021
ISSN: ['1682-1777', '1682-1750', '2194-9034']
DOI: https://doi.org/10.5194/isprs-archives-xliv-2-w1-2021-125-2021