We work with scientist with a diverse background, using computer vision, photogrammetry and remote sensing, to address cross-disciplinary challenges. Scientists we have collaborated are in anthropology, ecology, earth science, environmental engineering, public health, structural engineering, geography etc., with the list expanded as more collaborations arise.
Applications
- Visual sensors for environment assessment
- Using remote sensing to understand agriculture practices
- Using photogrammetry for modeling corals for ecological assessment
- Using sensors and visual data to understand the vibration of bridges
- Using remote sensing images to assess the quality of water
- Etc.
Publications
Interdisciplinary applications
Sean Downey, Matthew Walker, Jacob Moschler, Filiberto Penados, William Peterman, Juan Pop, Rongjun Qin, Shane Scaggs, and Shuang Song^ (2023). An intermediate level of disturbance with customary agricultural practices increases species diversity in Maya community forests in Belize. Communications Earth & Environment.link
Interdisciplinary applications
Yongsheng Bai, Halil Sezen, Alper Yilmaz, Rongjun Qin. Bridge vibration measurements using different camera placements and techniques of computer vision and deep learning. Advances in Bridge Engineering, 4, 25 (2023). https://doi.org/10.1186/s43251-023-00105-1. (link).
Interdisciplinary applications
Tiangang Yin, Paul M. Montesano, Bruce D. Cook, Eric Chavanon, Christopher S. R. Neigh, David Shean, Dongju Peng, Nicolas Lauret, Ameni Mkaouar, Omar Regaieg, Zhijun Zhen, Rongjun Qin, Jean-Philippe Gastellu-Etchegorry, Douglas C. Morton. Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (II) optimizing acquisition configurations. Remote Sensing of Environment, 298, 113824 (2023). (link).
Interdisciplinary applications
Guixiang Zhang^, Shuang Song^, Jenny Panescu, Nicholas Shapiro, Karen C. Dannemiller, Rongjun Qin (2023). A novel systems solution for accurate colorimetric measurement through smartphone-based augmented reality. PLOS ONE 18, no. 6 (2023): e0287099. (link)
Interdisciplinary applications
Yang Tang^, Shuang Song^, Shengxi Gui^, Weilun Chao, Chinmin Cheng, Rongjun Qin (2023). Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment. Sensors, 23(3), 1437. (link).
Interdisciplinary applications
Debao Huang^, Yang Tang^, Rongjun Qin. (2022). An evaluation of planetscope images for 3D reconstruction and change detection – experimental validations with case studies. GIScience & Remote Sensing Journal. 59(1): 744-761. (link).
Interdisciplinary applications
Nabeel Mahmmod^, Rongjun Qin, Tarunjit Singh Butalia (2021). Safety risk assessment intelligent system for on-foot construction worker using fuzzy fault tree. Journal of Intelligent & Fuzzy Systems. 41 (2021): 929–954. (link, pdf)
Interdisciplinary applications
Yulu Chen^, Rongjun Qin, Guixiang Zhang^, Hessah Albanwan^ (2021). Spatial Temporal Analysis of Traffic Patterns during the COVID-19 Epidemic by Vehicle Detection Using Planet Remote-Sensing Satellite Images. Remote Sensing, 13(2):208. (link) (Invited paper) (Editor’s Choice Article)
Interdisciplinary applications
Dorothée James, Antoine Collin, Antoine Mury, Rongjun Qin (2022). Satellite–Derived Topography and Morphometry for VHR Coastal Habitat Mapping: The Pleiades–1 Tri–Stereo Enhancement. Remote Sensing, 14(1), 219. (link)
Interdisciplinary applications
Abderrahim Nemmaoui, Fernando J. Aguilar, Rongjun Qin and Manuel Aguilar (2019). DSM and DTM Generation from VHR Satellite Stereo Imagery over Plastic Covered Greenhouse Areas. Computers and Electronics in Agriculture. 164 (2019). 104903. (pdf, link)