杭仁龙 - 南京信息工程大学

个人简介

教育经历 2014年9月-2017年6月南京信息工程大学大气科学学院博士 2011年9月-2014年6月南京信息工程大学信息与控制学院硕士 2007年9月-2011年6月南京信息工程大学信息与控制学院学士工作经历 2017年7月-至今南京信息工程大学信息与控制学院讲师

研究领域

机器学习、模式识别、遥感图像处理

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Hang R, Liu Q, Song H, et al. Matrix-based discriminant subspace ensemble for hyperspectral image spatial–spectral feature fusion[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(2): 783-794. Hang R, Liu Q, Sun Y, et al. Robust matrix discriminative analysis for feature extraction from hyperspectral images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(5): 2002-2011. Hang R, Liu Q, Song H, et al. Graph Regularized Nonlinear Ridge Regression for Remote Sensing Data Analysis[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(1): 277-285. Liu Q, Hang R, et al. Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(1): 117-126. Hang R, Liu Q, Xia G, et al. Correcting MODIS aerosol optical depth products using a ridge regression model[J]. International Journal of Remote Sensing, 2018, 39(10): 3275-3286. Hang R, Liu Q. Dimensionality reduction of hyperspectral image using spatial regularized local graph discriminant embedding[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(9): 3262-3271. Ge L, Hang R, Liu Y, et al. Comparing the Performance of Neural Network and Deep Convolutional Neural Network in Estimating Soil Moisture from Satellite Observations[J]. Remote Sensing, 2018, 10(9): 1327. Zhou F, Hang R, Liu Q, et al. Hyperspectral image classification using spectral-spatial LSTMs[J]. Neurocomputing, 2019, 328: 39-47. Hang R, Liu Q, Hong D, et al. Cascaded Recurrent Neural Networks for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019. Zhou F, Hang R, Liu Q, et al. Hyperspectral image classification using spectral-spatial LSTMs[C]//CCF Chinese Conference on Computer Vision. Springer, Singapore, 2017: 577-588. Zhou F, Hang R, Liu Q, et al. Integrating convolutional neural network and gated recurrent unit for hyperspectral image spectral-spatial classification[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Springer, Cham, 2018: 409-420.