Hessah Albanwan

• Albanwan, H., Qin, R., & Tang, Y. (2024). Image Fusion in Remote Sensing: An Overview and Meta-Analysis. Photogrammetric Engineering & Remote Sensing,90(12), 755–775. https://doi.org/10.14358/PERS.24- 00110R1

• 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 Multitemporal 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.