跨模态遥感影像语义特征智能提取、融合增强和鲁棒表示技术，智控实验室开放基金重点项目，2024.1-2025.12（主持）
基于物理信息约束神经网络的高光谱图像去噪方法研究， 国家自然科学基金面上项目, 2024.01 -- 2027.12(主持)
材质信息引导的高光谱目标时空谱跟踪方法研究，南京理工大学青年人才培育专项，2023.08 -- 2026.08（主持）
基于深度学习的自然资源要素变化发现与监测研究，地理信息工程国家重点实验室开放基金, 2023.07 -- 2024.07（主持）
高光谱目标跟踪中的张量时空谱表观建模方法研究, 国家自然科学基金青年项目, 2021.01 -- 2023.12(主持)
基于模型驱动深度学习的高光谱去噪算法研究, 江苏省自然科学基金青年项目,2020.07 -- 2023.06(主持)
天空地一体化酿酒葡萄长势及病虫害智能诊断技术研究，宁夏农林科学院,子课题负责人。
XXXXX，173项目子课题， 2023.12 -- 2025.1
XXXXX, 外协项目，2023 -- 2024
Fengchao Xiong, Tianhan Li, Jingzhou Chen, Jun Zhou, Yuntao Qian. ”Mask Guided Local-Global Attentive Network for Change Detection in Remote Sensing Images”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2024.
Jingzhou Chen, Fengchao Xiong, Yuntao Qian, Liang Xiao. "Hierarchical Multi-Granularity Ship Classification Using Hierarchical Constrastive Learning with Learnable Class Quiresr",IEEE Transactions on Geoscience and Remote Sensing(TGRS, 大修), 2024.
Di Hu, Xia Yuan, Huiying Xi, Jie Li, Zhenbo Song, Fengchao Xiong, Kai Zhang, Chunxia Zhao. "Road Structure Based Ground-to-Aerial Pose Estimation",IEEE Transactions on Geoscience and Remote Sensing(TGRS, 在审), 2024.
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Jiantao Zhou, Yuntao Qian. "Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer",IEEE Transactions on Geoscience and Remote Sensing(TGRS), 2024.
Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Zhuang Zhao, Yuntao Qian.”Material-Guided Multi-View Fusion Network for Hyperspectral Object Tracking”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024.
Shou Feng, Rui Feng, Fengchao Xiong, Chunhui Zhao, Wei Li, and Ran Tao. "A Transformer-Based Cross-Domain Few-Shot Learning Method for Hyperspectral Target Detection", IEEE Transactions on Geoscience and Remote Sensing (TGRS， 大修), 2024.
Fengchao Xiong, Tianhan Li, Jun Zhou, Yi Yang, Jianfeng Lu, Yuntao Qian, "Wavelet Siamese Network with Semi-supervised Domain Adaptation for Remote Sensing Image Change Detection" , IEEE Transactions on Geoscience and Remote Sensing (TGRS， 大修), 2024.
Junbin Chen, Minchao Ye, Fengchao Xiong, Yuntao Qian. ”Adaptive Graph Modelling with Self-training for Heterogeneous Cross-scene Hyperspectral Image Classification”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.
Fengchao Xiong, Jun Zhou, Jiantao Zhou, Jianfeng Lu,Yuntao Qian. "Deep Parameterized Neural Networks for Hyperspectral Image Denoising", IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Fengchao Xiong, Jiantao Zhou, Jun Zhou, Jianfeng Lu, Yuntao Qian. ”Multitask Sparse Representation Inspired Network for Hyperspectral Image Denoising”, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023.
Hui Xie, Jing Han, Yi Zhang, Fengchao Xiong, Zhuang Zhao. ”Dual camera snapshot high-resolution-hyperspectral imaging system with parallel joint optimization via physicsinformed learning”, Optics Express, 2023.
Zhuangeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian. ”Learning a Deep Ensemble Network with Band Importance for Hyperspectral Object Tracking”, IEEE Transactions on Image Processing, 2023.
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian. ”Hyperspectral Image Denoising via Nonlocal Spatial-Spectral Recurrent Neural Network”, IEEE Transactions on Geoscience and Remote Sensing, 2022.
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian. ”SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising”, IEEE Transactions on Image Processing, 2022.
Minchao Ye, Junbin Chen, Fengchao Xiong, Yuntao Qian, Learning a deep structural subspace across hyperspectral scenes with cross-domain VAE IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. [PDF]
Fengchao Xiong, Jun Zhou, Qinling Zhao, Jianfeng Lu, Yuntao Qian, MAC-Net: Model Aided Nonlocal Neural Network for Hyperspectral Image Denoising IEEE Transactions on Geoscience and Remote Sensing(TGRS), 2021. [PDF] [code]
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Yuntao Qian, SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing IEEE Transactions on Geoscience and Remote Sensing ((TGRS), 2021. [PDF] [code]
Yuntao Qian, Fengchao Xiong, Qipeng Qian, Jun Zhou. Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing (TGRS ), 2020. [PDF]
Fengchao Xiong, Jun Zhou, Yuntao Qian. Material based object tracking in hyperspectral videos IEEE Transactions on Image Processing(TIP) vol. 29, no. 1, pp. 3719-3733, 2020.[PDF][code]
Fengchao Xiong, Jun Zhou, Yuntao Qian. Hyperspectral restoration via L0 Gradient Regularized Low-Rank Tensor factorization. IEEE Transactions on Geoscience and Remote Sensing (TGRS),vol. 57, no. 12, pp. 10410-10425, Dec. 2019. [PDF] [Code]
Fengchao Xiong, Yuntao Qian, Jun Zhou. Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization.IEEE Transactions on Geoscience and Remote Sensing (TGRS）,vol. 57, no. 4, pp. 2341-2357, April 2019 [PDF] [Code]
Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, and Yuan Yan Tang. Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing (TGRS) , vol. 55, no. 3, pp. 1776-1792, March 2017. [PDF][Code].
博士生
安泊舟(博士四年级, 协助指导, 2023年入组):
李专峰(博士三年级, 协助指导，2019年入组，硕转博): ICIP 2020， 2022; ICASSP 2022 ; TIP 2023； TGRS 2024 国家公派联合培养博士(阿尔伯特大学)
傅冠夷蛮(博士二年级, 协助指导，2019年入组，硕转博): IGARSS 2021; TGRS 2022; TGRS 2024
刘正予(博士二年级, 协助指导, 2023年入组)
硕士生
孙永乐（硕士二年级）
张艺君 （硕士二年级, 协助指导）, IGARSS 2024
叶瑾 （硕士一年级）
吴振兴（硕士一年级）
本科生
张雄（大四，明年秋季研究生入学）
於钱力（大四，明年秋季研究生入学）
毕业学生
叶鑫海 (2021届硕士研究生)--->上海华为: Remote Sensing 2020; DICTA 2020 最佳学生论文; 南京理工大学优秀毕业生
邹世德 (2022届硕士研究生)--->微软苏州: SmartSat CRC/AI4Space Best Paper Award on Deep Learning for Earth Observation and Remote Sensing@DICTA 2021
涂坤 (2023届硕士研究生)---> 中兴南京， 中国图形图像学报;遥感学报
李天涵 (2024届硕士研究生)---> 杭州虹软， IGARSS 2023, JSTATS 2024, TGRS 2024 (大修)