Qi Zhang
Orcid: 0000-0003-0235-1333Affiliations:
- University of New South Wales, School of Civil and Environmental Engineering, Sydney, Australia
- Beijing Institute of Technology, Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, China (former)
According to our database1,
Qi Zhang
authored at least 13 papers
between 2015 and 2022.
Collaborative distances:
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Bibliography
2022
Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data.
Remote. Sens., 2022
Graph-based few-shot learning with transformed feature propagation and optimal class allocation.
Neurocomputing, 2022
A novel attention-based deep learning method for post-disaster building damage classification.
Expert Syst. Appl., 2022
2021
Towards a Deep-Learning-Based Framework of Sentinel-2 Imagery for Automated Active Fire Detection.
Remote. Sens., 2021
Detection and Deformation Characterization of the 2020 Aniangzhai Landslide Using Time-Series Insar and Optical Datasets.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Quantitative, Near Real-Time Mapping of Bushfires Through Integration of Optical and SAR Remote Sensing Techniques.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Detection of Pre-Failure Deformation of the 2017 Maoxian Landslide with Time-Series Insar and Multi-Temporal Optical Datasets.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
A Modified RMoG Model for Forest Height Inversion Using L-Band Repeat-Pass Pol-InSAR Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Assessment of the Accuracy Among the Common Persistent Scatterer and Distributed Scatterer Based on SqueeSAR Method.
IEEE Geosci. Remote. Sens. Lett., 2018
2017
Local Fringe Frequency Estimation Based on Multifrequency InSAR for Phase-Noise Reduction in Highly Sloped Terrain.
IEEE Geosci. Remote. Sens. Lett., 2017
A novel DEM reconstruction strategy based on multi-frequency InSAR in highly sloped terrain.
Sci. China Inf. Sci., 2017
2016
Remote. Sens., 2016
2015
A hybrid adaptive method for interferometric phase filtering based on the mode and median filter.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015