Jinglu He - researchr alias

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Viewing Publication 1 - 7 from 7

2022

Hyperspectral Anomaly Detection based on Autoencoder using Superpixel Manifold ConstraintYuquan Gan, Wenqiang Li, Ying Liu, Jinglu He, Ji Zhang. aipr2 2022: 873-879 [doi]

Group Bilinear CNNs for Dual-Polarized SAR Ship ClassificationJinglu He, Wenlong Chang, Fuping Wang, Ying Liu, Yinghua Wang, Hongwei Liu 0001, Yinghua Li, Lei Liu. lgrs, 19:1-5, 2022. [doi]

2021

Ship Classification in Medium-Resolution SAR Images via Densely Connected Triplet CNNs Integrating Fisher Discrimination Regularized Metric LearningJinglu He, Yinghua Wang, Hongwei Liu 0001. tgrs, 59(4):3022-3039, 2021. [doi]

2018

A Novel Automatic PolSAR Ship Detection Method Based on Superpixel-Level Local Information MeasurementJinglu He, Yinghua Wang, Hongwei Liu, Ning Wang, Jian Wang. lgrs, 15(3):384-388, 2018. [doi]

2017

PolSAR Ship Detection Using Local Scattering Mechanism Difference Based on Regression KernelJinglu He, Yinghua Wang, Hongwei Liu, Ning Wang. lgrs, 14(10):1725-1729, 2017. [doi]

Feature-Fused SAR Target Discrimination Using Multiple Convolutional Neural NetworksNing Wang, Yinghua Wang, Hongwei Liu, Qunsheng Zuo, Jinglu He. lgrs, 14(10):1695-1699, 2017. [doi]

2016

Superpixel-Based CFAR Target Detection for High-Resolution SAR ImagesWenyi Yu, Yinghua Wang, Hongwei Liu, Jinglu He. lgrs, 13(5):730-734, 2016. [doi]

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