王愈鲜，女，浙江丽水人，1996年7月出生，博士，地理与空间信息技术系助理研究员。主要从事深度学习模型应用于多/高光谱遥感影像的分类、混合像元分解、亚像元定位、时空数据融合等研究，在国内外核心期刊发表论文数篇。 | 
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教育经历：
2018.09–2024.06：获得中国地质大学（北京）工学博士学位（硕博连读），所学专业：测绘科学与技术
2014.09–2018.06，获得中国地质大学（北京）工学学士学位，所学专业：测绘工程
工作经历：
2024年7月至今：宁波大学地理与空间信息技术系助理研究员
发表论文：
[1] Yuxian Wang, Kui Li, Linlin Xu*, Qian Wei, Fang Wang, Ye Chen. A depthwise separable fully convolutional ResNet with ConvCRF for semisupervised hyperspectral image classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 4621-4632.
[2] Yuxian Wang, Yuan Fang, Wenlong Zhong, Rongming Zhuo, Junhuan Peng*, Linlin Xu. A Spatial–Temporal Depth-Wise Residual Network for Crop Sub-Pixel Mapping from MODIS Images[J]. Remote Sensing, 2022, 14(21): 5605.
[3] Yuxian Wang, Rongming Zhuo, Linlin Xu*, Yuan Fang. A Spatial–Temporal Bayesian Deep Image Prior Model for Moderate Resolution Imaging Spectroradiometer Temporal Mixture Analysis[J]. Remote Sensing, 2023, 15(15): 3782.
[4] Yuan Fang, Yuxian Wang, Linlin Xu*, Rongming Zhuo, Alexander Wong, David A. Clausi. BCUN: Bayesian fully convolutional neural network for hyperspectral spectral unmixing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-14.（共同一作）
[5] Yuan Fang, Yuxian Wang, Linlin Xu*, Yujia Chen, Alexander Wong, David A. Clausi. . Unsupervised Bayesian subpixel mapping autoencoder network for hyperspectral images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-12.（共同一作）
[6] Zhihai Yang, Guangjun Wang*, Lei Feng, Yuxian Wang, Guowei Wang, Sihai Liang. A Transformer Model for Coastline Prediction in Weitou Bay, China[J]. Remote Sensing, 2023, 15(19): 4771.
[7] Rongming Zhuo, Yuan Fang, Linlin Xu*, Yujia Chen, Yuxian Wang, Junhuan Peng. A novel spectral-temporal Bayesian unmixing algorithm with spatial prior for Sentinel-2 time series[J]. Remote Sensing Letters, 2022, 13(5): 522-532.
[8] Yujia Chen, Cheng Huang*, Cheng Yang*, Junhuan Peng, Jun Zhang, Yuxian Wang, et al. Subpixel mapping for remote sensing imagery based on spatial adaptive attraction model and conditional random fields[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 1624-1640.