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11 September 2023 Research on bridge detection algorithm based on remote sensing image
Zanpeng Zhang, Lingyu Luo
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Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127791V (2023) https://doi.org/10.1117/12.2689335
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
In the 21st century, with the rapid development of Artificial Intelligence (AI) technology, rapid and automatic recognition of ground objects in remote sensing images has gradually become the current research focus. This technology solves the problem that a single remote sensing image cannot cover the target area and cannot meet the actual operation requirements. Because of the advantages of high efficiency, low cost and reliable mosaic image quality, it is widely used in engineering surveying and mapping, traffic monitoring, military investigation, disaster investigation and other fields. With the rapid development of aerial remote sensing technology, the number of optical remote sensing images has increased explosively, which provides necessary data support for using deep learning method to detect targets in remote sensing images. Based on the research background of automatic detection and recognition of bridge targets in visible light remote sensing images, this paper studies the problems of feature extraction, river detection, river region correction and bridge target recognition, and constructs a complete automatic detection and location system of bridge targets. After that, the bridge is accurately detected using binary morphology combined with the feature of bridge crossing both banks.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Zanpeng Zhang and Lingyu Luo "Research on bridge detection algorithm based on remote sensing image", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127791V (11 September 2023); https://doi.org/10.1117/12.2689335
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KEYWORDS
Remote sensing
Bridges
Target detection
Image fusion
Image processing
Detection and tracking algorithms
Target recognition
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