| Patch similarity convolutional neural network for urban flood extent mapping using bi-temporal satellite multispectral imagery B Peng, Z Meng, Q Huang, C Wang Remote Sensing 11 (21), 2492, 2019 | 62 | 2019 |
| Urban flood mapping with bitemporal multispectral imagery via a self-supervised learning framework B Peng, Q Huang, J Vongkusolkit, S Gao, DB Wright, ZN Fang, Y Qiang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 35 | 2020 |
| Fast real-time causal linewise progressive hyperspectral anomaly detection via cholesky decomposition L Zhang, B Peng, F Zhang, L Wang, H Zhang, P Zhang, Q Tong IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 23 | 2017 |
| Flood depth estimation from web images Z Meng, B Peng, Q Huang Proceedings of the 2nd ACM SIGSPATIAL international workshop on advances on …, 2019 | 17 | 2019 |
| Urban flood mapping with residual patch similarity learning B Peng, X Liu, Z Meng, Q Huang Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for …, 2019 | 15 | 2019 |
| Towards cartographic knowledge encoding with deep learning: A case study of building generalization Y Kang, J Rao, W Wang, B Peng, S Gao, F Zhang Proceedings of the AutoCarto, 1-6, 2020 | 13 | 2020 |
| Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data X Liu, M Wu, B Peng, Q Huang Scientific Reports 12 (1), 15769, 2022 | 10 | 2022 |
| Spatiotemporal contrastive representation learning for building damage classification B Peng, Q Huang, J Rao 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8562 …, 2021 | 9 | 2021 |
| Near real-time flood mapping with weakly supervised machine learning J Vongkusolkit, B Peng, M Wu, Q Huang, CG Andresen Remote Sensing 15 (13), 3263, 2023 | 5 | 2023 |
| Fast real-time target detection via target-oriented band selection B Peng, L Zhang, T Wu, H Zhang 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 4 | 2016 |
| Real-time progressive hyperspectral remote sensing detection methods for crop pest and diseases T Wu, L Zhang, B Peng, H Zhang, Z Chen, M Gao Remotely Sensed Data Compression, Communications, and Processing XII 9874 …, 2016 | 4 | 2016 |
| Real-Time Classification of Disaster Images from Social Media with a Self-Supervised Learning Framework T Cai, H Gan, B Peng, Q Huang, Z Zou IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 3 | 2022 |
| Flood Depth Assessment with Location-Based Social Network Data and Google Street View-A Case Study with Buildings as Reference Objects B Zou, B Peng, Q Huang IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 2 | 2022 |
| Real-time sample-wise hyperspectral anomaly detection algorithm using Cholesky decomposition B Peng, L Zhang, P Zhang, X Deng, Y Cen Journal of Remote Sensing 21 (5), 739-748, 2017 | 2* | 2017 |
| Flood Risk Evaluation Using AHP-Based Model and GIS Technique: A Case Study of Ethiope East and West Local Government Areas, Nigeria M Chukwu, X Huang, B Peng, I Oloruntimilehin Journal of the Indian Society of Remote Sensing 51 (12), 2561-2576, 2023 | 1 | 2023 |
| Self-supervised Pretraining with Edge Guidance for Building Damage Assessment S Yang, B Peng, T Sui, Q Huang Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for …, 2024 | | 2024 |
| A Remote Sensing Spectral Index Guided Bitemporal Residual Attention Network for Wildfire Burn Severity Mapping M Wu, Q Huang, T Sui, B Peng, M Yu IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | | 2024 |
| System and method for multi-modal image enhancement based on time-adjacent image data B Peng, JH Lai, Y Gou, H Zhou, H Liu, M Han US Patent App. 18/109,240, 2024 | | 2024 |
| PAST: Pansharpening Super-resolution Transformer for Landsat-8 and Sentinel-2 Harmonization B Peng, J Vongkusolkit, JH Lai AGU Fall Meeting Abstracts 2023 (448), IN51C-0448, 2023 | | 2023 |
| Knowledge-Informed Machine Learning for Real-time Flood Mapping with High-Resolution PlanetScope Imagery B Peng, Q Huang Fall Meeting 2022, 2022 | | 2022 |
Qunying HuangProfessor, University of Wisconsin-Madison在 wisc.edu 的电子邮件经过验证
