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2020 – today
- 2024
[j8]Jingtao Li
, Xinyu Wang, Shaoyu Wang, Hengwei Zhao, Yanfei Zhong:
One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024)- [j7]Jingtao Li, Yanfei Zhong, Hengwei Zhao, Zhi Gao, Xinyu Wang:
Segmenting Remote Sensing Anomalies at Instance Level via Anomaly Map-Guided Adaptation. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j6]Ziying Liu, Hengwei Zhao, Xinyu Wang, Shaoyu Wang, Jingtao Li, Yanfei Zhong:
PU-KBS: A Robust Positive and Unlabeled Learning Framework With Key Band Selection for One-Class Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j5]Ge Tang, Xinyu Wang, Hengwei Zhao, Xin Hu, Guang Jin, Yanfei Zhong:
Attention in Attention for Hyperspectral With High Spatial Resolution (H) Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [i7]Jingtao Li, Qian Zhu, Xinyu Wang, Hengwei Zhao, Yanfei Zhong:
AnomalyCD: A benchmark for Earth anomaly change detection with high-resolution and time-series observations. CoRR abs/2409.05679 (2024) - 2023
- [j4]Hengwei Zhao, Yanfei Zhong, Xinyu Wang, Hong Shu:
One-Class Risk Estimation for One-Class Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [c4]Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong:
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors. AAAI 2023: 4426-4434 - [c3]Hengwei Zhao, Xinyu Wang, Jingtao Li, Yanfei Zhong:
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery. ICCV 2023: 16781-16790 - [i6]Jingtao Li, Xinyu Wang, Hengwei Zhao, Shaoyu Wang, Yanfei Zhong:
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors. CoRR abs/2301.13422 (2023) - [i5]Jingtao Li, Xinyu Wang, Shaoyu Wang, Hengwei Zhao, Liangpei Zhang, Yanfei Zhong:
One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning. CoRR abs/2303.12342 (2023) - [i4]Hengwei Zhao, Xinyu Wang, Jingtao Li, Yanfei Zhong:
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery. CoRR abs/2308.15081 (2023) - [i3]Jingtao Li, Xinyu Wang, Hengwei Zhao, Liangpei Zhang, Yanfei Zhong:
A Unified Remote Sensing Anomaly Detector Across Modalities and Scenes via Deviation Relationship Learning. CoRR abs/2310.07511 (2023) - 2022
- [j3]Jingtao Li, Xinyu Wang, Hengwei Zhao, Xin Hu, Yanfei Zhong:
Detecting pine wilt disease at the pixel level from high spatial and spectral resolution UAV-borne imagery in complex forest landscapes using deep one-class classification. Int. J. Appl. Earth Obs. Geoinformation 112: 102947 (2022) - [j2]Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi:
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9927-9942 (2022) - [c2]Hengwei Zhao, Junjue Wang, Yang Pan, Ailong Ma, Xinyu Wang, Yanfei Zhong:
Progressive Label Refinement-Based Distribution Adaptation Framework for Landslide Detection. CDCEO@IJCAI 2022: 87-90 - [i2]Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi:
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery. CoRR abs/2209.02556 (2022) - [i1]Hengwei Zhao, Yanfei Zhong, Xin He, Xinyu Wang, Hong Shu:
Learning One-Class Hyperspectral Classifier from Positive and Unlabeled Data for Low Proportion Target. CoRR abs/2210.15457 (2022) - 2021
- [j1]Lei Lei, Xinyu Wang, Yanfei Zhong, Hengwei Zhao, Xin Hu, Chang Luo:
DOCC: Deep one-class crop classification via positive and unlabeled learning for multi-modal satellite imagery. Int. J. Appl. Earth Obs. Geoinformation 105: 102598 (2021) - [c1]Lei Lei, Xinyu Wang, Hengwei Zhao, Xin Hu, Chang Luo, Yanfei Zhong:
Deep One-Class Crop Extraction Framework for Multi-Modal Remote Sensing Imagery. IGARSS 2021: 5961-5964
Coauthor Index
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