By Ms Chang Liu

Journal articles

Bai T; Stütz D; Liu C; Bulatov D; Hacker J; Ge L, 2024, 'Unsupervised Bushfire Burn Severity Mapping Using Aerial and Satellite Imagery', ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4-2024, pp. 29 - 36, http://dx.doi.org/10.5194/isprs-annals-x-4-2024-29-2024

Zhang Q; Liu C; Zhu W; Mei S, 2024, 'Demystifying the Influencing Factors of Construction 4.0 Technology Implementation from a Sustainability Starting Point: Current Trends and Future Research Roadmap', Buildings, 14, http://dx.doi.org/10.3390/buildings14020552

Liu C; Ge L; Xiang W; Du Z; Zhang Q, 2024, 'Channel Attention and Normal-Based Local Feature Aggregation Network (CNLNet): A Deep Learning Method for Predisaster Large-Scale Outdoor Lidar Semantic Segmentation', IEEE Transactions on Geoscience and Remote Sensing, 62, pp. 1 - 12, http://dx.doi.org/10.1109/TGRS.2023.3339475

Liu C; Zhang Q; Ge L; Sepasgozar SME; Sheng Z, 2023, 'Dielectric Fluctuation and Random Motion over Ground Model (DF-RMoG): An Unsupervised Three-Stage Method of Forest Height Estimation Considering Dielectric Property Changes', Remote Sensing, 15, http://dx.doi.org/10.3390/rs15071877

Zhang Q; Hensley S; Zhang R; Liu C; Ge L, 2022, 'Improved Model-Based Forest Height Inversion Using Airborne L-Band Repeat-Pass Dual-Baseline Pol-InSAR Data', Remote Sensing, 14, http://dx.doi.org/10.3390/rs14205234

Liu C; Sepasgozar SME; Zhang Q; Ge L, 2022, 'A novel attention-based deep learning method for post-disaster building damage classification', Expert Systems with Applications, 202, http://dx.doi.org/10.1016/j.eswa.2022.117268

Zhang Q; Ge L; Hensley S; Isabel Metternicht G; Liu C; Zhang R, 2022, 'PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data', ISPRS Journal of Photogrammetry and Remote Sensing, 186, pp. 123 - 139, http://dx.doi.org/10.1016/j.isprsjprs.2022.02.008

Liu C; M.E. Sepasgozar S; Shirowzhan S; Mohammadi G, 2022, 'Applications of object detection in modular construction based on a comparative evaluation of deep learning algorithms', Construction Innovation, 22, pp. 141 - 159, http://dx.doi.org/10.1108/CI-02-2020-0017

Wu Y; Liu C; Zhang Q; Ge L, 2022, 'Bibliometric Analysis of Interferometric Synthetic Aperture Radar (InSAR) Application in Land Subsidence from 2000 to 2021', Journal of Sensors, 2022, http://dx.doi.org/10.1155/2022/1027673

Zhang Q; Ge L; Zhang R; Metternicht GI; Liu C; Du Z, 2021, 'Towards a deep-learning-based framework of sentinel-2 imagery for automated active fire detection', Remote Sensing, 13, http://dx.doi.org/10.3390/rs13234790

Liu C; Shirowzhan S; Sepasgozar S; Kaboli S, 2019, 'Evaluation of Classical Operators and Fuzzy Logic Algorithms for Edge Detection of Panels at Exterior Cladding of Buildings', Buildings, 9, pp. 40 - 40, http://dx.doi.org/10.3390/buildings9020040

Sun T; Xu Z; Yuan J; Liu C; Ren A, 2017, 'Virtual experiencing and pricing of room views based on BIM and oblique photogrammetry', CREATIVE CONSTRUCTION CONFERENCE 2017, CCC 2017, 196, pp. 1122 - 1129, http://dx.doi.org/10.1016/j.proeng.2017.08.071

Conference Papers

Bai T; Ge L; Sepasgozar SME; Sheng Z; Liu C; Wu Y; Zhang Q, 2023, 'An Improved Luminance Contrast Saliency Map for Burned Area Mapping Based in INSAR Coherence Difference Image', in International Geoscience and Remote Sensing Symposium (IGARSS), pp. 7198 - 7201, http://dx.doi.org/10.1109/IGARSS52108.2023.10282043

Sheng Z; Ge L; Li C; Bai T; Liu C; Wu Y; Zhang Q, 2023, 'Flood Assessment and Mapping Based on SAR and QUAV Vertical Remote Sensing Framework: A Case Study of 2022 Australia Moama Floods', in International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2548 - 2551, http://dx.doi.org/10.1109/IGARSS52108.2023.10282975

Liu C; Zhang Q; Shirowzhan S; Bai T; Sheng Z; Wu Y; Kuang J; Ge L, 2023, 'The Influence of Changing Features on the Accuracy of Deep Learning-Based Large-Scale Outdoor Lidar Semantic Segmentation', in International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4443 - 4446, http://dx.doi.org/10.1109/IGARSS52108.2023.10281898

Kuang J; Ge L; Zhang Q; Liu C, 2023, 'Using Multi-Temporal Optical Remote Sensing Images For Monitoring Post-Failure Evolution Of The Aniangzhai Landslide In Danba County, China', in International Geoscience and Remote Sensing Symposium (IGARSS), pp. 6740 - 6743, http://dx.doi.org/10.1109/IGARSS52108.2023.10282595

Liu C; Ge L; Sepasgozar S, 2021, 'POST-DISASTER CLASSIFICATION OF BUILDING DAMAGE USING TRANSFER LEARNING', in International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers (IEEE), Brussels, Belgium, pp. 2194 - 2197, presented at IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2021, Brussels, Belgium, 12 July 2021 - 16 July 2021, http://dx.doi.org/10.1109/IGARSS47720.2021.9554795

Liu C; Liu X; Wei Z; Hu S; Kwan Ng DW; Yuan J, 2021, 'Deep Learning-Empowered Predictive Beamforming for IRS-Assisted Multi-User Communications', in Proceedings - IEEE Global Communications Conference, GLOBECOM, http://dx.doi.org/10.1109/GLOBECOM46510.2021.9685274

Ge L; Wang Y; Zhang Q; Du Z; Liu C; Dong Y; Sleigh T; Guo T; Lei X; Ma Z, 2021, 'QUANTITATIVE, NEAR REAL-TIME MAPPING OF BUSHFIRES THROUGH INTEGRATION OF OPTICAL AND SAR REMOTE SENSING TECHNIQUES', in International Geoscience and Remote Sensing Symposium (IGARSS), pp. 455 - 458, http://dx.doi.org/10.1109/IGARSS47720.2021.9554543

Liu C; Shirowzhan S; Sepasgozar SME, 2019, 'Developing a Workflow for Cloud-based Inspection of Temporary Structures in Construction', in Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), International Association for Automation and Robotics in Construction (IAARC), presented at 36th International Symposium on Automation and Robotics in Construction, 21 May 2019 - 24 May 2019, http://dx.doi.org/10.22260/isarc2019/0177

Niemelä M; Shi A; Shirowzhan S; Sepasgozar SME; Liu C, 2019, '3D printing architectural freeform elements: Challenges and opportunities in manufacturing for industry 4.0', in Proceedings of the 36th International Symposium on Automation and Robotics in Construction, ISARC 2019, Banff, Alberta, Canada, pp. 1298 - 1304, presented at Isarc2019, Banff, Alberta, Canada, 21 May 2019 - 24 May 2019, http://dx.doi.org/10.22260/ISARC2019/0174

Liu C; Shirowzhan S; Sepasgozar SME, 2019, 'Developing a workflow for cloud-based inspection of temporary structures in construction', in Proceedings of the 36th International Symposium on Automation and Robotics in Construction, ISARC 2019, Banff, Canada, pp. 1319 - 1326, presented at ISARC, Banff, Canada, 21 May 2019 - 24 May 2019, http://dx.doi.org/10.22260/ISARC2019/0117

Liu C; Shirowzhan S; Sepasgozar S; Kaboli S, 2018, 'Comparative Analysis of Five Edge Detection Algorithms for Panel Defect Detection', in 1st International Conference on 3D Construction Printing, Melbourne, presented at 1st International Conference on 3D Construction Printing, Melbourne, 26 November 2018 - 28 November 2018, http://dx.doi.org/10.26190/unsworks/27081

Felli F; Liu C; Ullah F; Sepasgozar S, 2018, 'Implementation of 360 videos and mobile laser measurement technologies for immersive visualisation of real estate & properties', in Do K; Sutrisna M (ed.), 42nd AUBEA Conference 2018: Educating Building Professionals for the Future in the Globalised World, Volume 2, Curtin University, Singapore, pp. 294 - 305, presented at 42nd AUBEA Conference 2018: Educating Building Professionals for the Future in the Globalised World, Singapore, 26 September 2018 - 28 November 2018, http://dx.doi.org/10.26190/unsworks/26970

SHIROWZHAN SARA; Sepasgozar SM; liu CHANG, 2018, 'Monitoring Physical Progress of Indoor Buildings Using Mobile and Terrestrial Point Clouds', New Orleans, Louisiana, presented at Sara SHIROWZHAN, New Orleans, Louisiana, 02 April 2018 - 04 April 2018, http://dx.doi.org/10.1061/9780784481264.059

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