DEEP LEARNING FOR CODED TARGET DETECTION

8 citations as recorded by crossref.

1. A Robust and Effective Identification Method for Point-Distributed Coded Targets in Digital Close-Range Photogrammetry Q. Wang et al. https://doi.org/10.3390/rs14215377
2. A novel dynamic tracking method for coded targets with complex background noise L. Song et al. https://doi.org/10.1016/j.optlaseng.2024.108654
3. A High-Precision Recognition Method of Circular Marks Based on CMNet Within Complex Scenes Z. Hong et al. https://doi.org/10.1109/JSTARS.2022.3194537
4. A large capacity expansion and robust recognition method of dot-dispersing coded targets with binary step-response serial encoding L. Song et al. https://doi.org/10.1016/j.measurement.2023.114038
5. A binocular vision-based detection system for coded targets L. Song et al. https://doi.org/10.1088/1361-6501/ae59a7
6. AHF: An Automatic and Universal Image Preprocessing Algorithm for Circular-Coded Targets Identification in Close-Range Photogrammetry under Complex Illumination Conditions H. Shang & C. Liu https://doi.org/10.3390/rs15123151
7. Improved Identification for Point-Distributed Coded Targets with Self-Adaption and High Accuracy in Photogrammetry Y. Liu et al. https://doi.org/10.3390/rs15112859
8. An improved table method for coded target identification with application to photogrammetric analysis of soil specimen during triaxial testing X. Xia et al. https://doi.org/10.1007/s11440-025-02572-4