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- B.S. In Civil Engineering, Kuwait University (2014)
- M.S. In Civil, Environmental, and Geodetic Engineering, Ohio State University (2017)
- Ph.D. In Civil, Environmental, and Geodetic Engineering, Ohio State University (2022)
- Remote Sensing and Photogrammetry
- GIS
- Satellite and Ariel Image Analysis
- Remote Sensing Data Fusion
- Image Processing
- Spatiotemporal Analysis
- Classification
- Object Detection
- Radiometric Normalization
- Multiview Stereo Analysis
- Remote Sensing and Photogrammetry
- GIS
- Geomatics
Hessah Albanwan, Rongjun Qin, Jung-Kuan Liu (2024). Remote Sensing-Based 3D Assessment of Landslides: A Review of the Data, Methods, and Applications. Remote Sensing.
Shuang Song, Luca Morelli, Xinyi Wu, Rongjun Qin, Hessah Albanwan, Fabio Remondino (2024). Deep Learning Meets Satellite Images – An Evaluation on Handcrafted and Learning-based Features for Multi-date Satellite Stereo Images. 2nd Workshop on Traditional Computer Vision in the Age of Deep Learning (TradiCV), in European Conference on Computer Vision (ECCV). 2024.
Shuang Song, Luca Morelli, Xinyi Wu, Rongjun Qin, Hessah Albanwan, Fabio Remondino. Evaluating Learning-based Tie Point Matching for Geometric Processing of Off-Track Satellite Stereo. ISPRS Technical Commission II Mid-term Symposium 2024.
Hessah Albanwan, Rongjun Qin (2022). An Adaptive and Image-guided Fusion for Stereo Satellite Image Derived Digital Surface Models. Journal of Geodesy and Geoinformation Science, 5(4): 1-9. doi:10.11947/j.JGGS.2022.0401
Hessah Albanwan, Rongjun Qin (2022). A Comparative Study on Deep‐Learning Methods for Dense Image Matching of Multi‐Angle and Multi‐Date Remote Sensing Stereo‐Images. The Photogrammetric Record.
Hessah Albanwan, Rongjun Qin (2022). Fine-Tuning Deep Learning Models for Stereo Matching Using Results from Semi-Global Matching. ISPRS. Annals. Photogramm. Remote Sens. Spatial Inf. Sci.
Hessah Albanwan, Rongjun Qin (2021). Adaptive and Non-adaptive Fusion Algorithms Analysis for Depth Maps Generated using Census and Convolutional Neural Networks (MC-CNN). XXIV ISPRS Congress.
Hessah Albanwan, Rongjun Qin (2020). Enhancement of Depth Map by Fusion Using Adaptive and Semantic-Guided Spatiotemporal Filtering. ISPRS. Annals. Photogramm. Remote Sens. Spatial Inf. Sci. 2020. ISPRS Congress (2020/2021).
Hessah Albanwan, Rongjun Qin (2020). Spatiotemporal Filtering for Fusion in Remote Sensing. In Kwan, C. (Eds.), Recent Advances in Image Restoration with Applications to Real World Problems. IntechOpen
Wenxia Gan, Hessah Albanwan, Rongjun Qin (2021). Radiometric Normalization of Multi-Temporal Landsat and Sentinel-2 Images Using a Reference MODIS Product through Spatiotemporal Filtering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.
Hessah Albanwan, Rongjun Qin, Xiaohu Lu, Mao Li, Desheng Liu, Jean-Michel Guldmann (2020). 3D Iterative Spatiotemporal Filtering for Classification of Multi-temporal Satellite Dataset. Photogrammetric Engineering and Remote Sensing. 2020, 86(1): 23-31.
Albanwan, H., Qin, R., & Qin, R. (2018). A Novel Spectrum Enhancement Technique for Multi-Temporal, Multi-Spectral Data Using Spatial-Temporal Filtering. ISPRS Journal of Photogrammetry and Remote Sensing, 142, 51-63.