Jingyu Ji - researchr alias

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Viewing Publication 1 - 25 from 25

2025

EFR-ACENet: Small object detection for remote sensing images based on explicit feature reconstruction and adaptive context enhancementJingyu Ji, Yuefei Zhao, Aihua Li, Xiaolin Ma, Changlong Wang, Zhilong Lin. eaai, 151:110722, 2025. [doi]

Dense small object detection algorithm for unmanned aerial vehicle remote sensing images in complex backgroundsJingyu Ji, Yuefei Zhao, Aihua Li, Xiaolin Ma, Changlong Wang, Zhilong Lin. dsp, 158:104938, 2025. [doi]

2024

2022

End to End Infrared and Visible Image Fusion With Texture Details and Contrast InformationJingyu Ji, Yuhua Zhang, Zhilong Lin, Yongke Li, Changlong Wang, Yongjiang Hu, Fuyu Huang, Jiangyi Yao. access, 10:92410-92425, 2022. [doi]

Fusion of Infrared and Visible Images Based on Three-Scale Decomposition and ResNet Feature TransferJingyu Ji, Yuhua Zhang, Yongjiang Hu, Yongke Li, Changlong Wang, Zhilong Lin, Fuyu Huang, Jiangyi Yao. entropy, 24(10):1356, 2022. [doi]

Infrared and Visible Image Fusion Based on Iterative Control of Anisotropic Diffusion and Regional Gradient StructureJingyu Ji, Yuhua Zhang, Zhilong Lin, Yongke Li, Changlong Wang, Yongjiang Hu, Jiangyi Yao. js, 2022:1-10, 2022. [doi]

Path Planning of Unmanned Helicopter in Complex Dynamic Environment Based on State-Coded Deep Q-NetworkJiangyi Yao, Xiongwei Li, Yang Zhang 0027, Jingyu Ji, Yanchao Wang, Yicen Liu. symmetry, 14(5):856, 2022. [doi]

2019

Decs-Net: Convolutional Self-Encoding Network for Hyperspectral Image DenoisingXiao Liu, Shaohui Mei, Zhi Zhang, Yifan Zhang 0006, Jingyu Ji, Qian Du. igarss 2019: 1951-1954 [doi]

Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral ClassificationShaohui Mei, Jingyu Ji, Yunhao Geng, Zhi Zhang, Xu Li, Qian Du. tgrs, 57(9):6808-6820, 2019. [doi]

2018

FPGA Based Implementation of Convolutional Neural Network for Hyperspectral ClassificationXiaofeng Chen, Jingyu Ji, Shaohui Mei, Yifan Zhang, Manli Han, Qian Du. igarss 2018: 2451-2454 [doi]

Hyperspectral Classification Via Spatial Context Exploration with Multi-Scale CNNZhongqi Tian, Jingyu Ji, Shaohui Mei, Junhui Hou, Shuai Wan, Qian Du. igarss 2018: 2563-2566 [doi]

2017

Learning sensor-specific features for hyperspectral images via 3-dimensional convolutional autoencoderJingyu Ji, Shaohui Mei, Junhui Hou, Xu Li, Qian Du. igarss 2017: 1820-1823 [doi]

Exploring Kernel Based Spatial Context for CNN Based Hyperspectral Image ClassificationJingyu Ji, Shaohui Mei, Xiao Liu, Xu Li, Shan Zeng, Zhiyong Wang. dicta 2017: 1-7 [doi]

Exploring the influence of feature representation for dictionary selection based video summarizationMingyang Ma, Shaohui Mei, Jingyu Ji, Shuai Wan, Zhiyong Wang, Dagan Feng. icip 2017: 2911-2915 [doi]

Fusing different levels of deep features by deep stacked neural network for hyperspectral imagesShaohui Mei, Yanfu Chen, Jingyu Ji, Junhui Hou, Qian Du. igarss 2017: 759-762 [doi]

Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural NetworksShaohui Mei, Jingyu Ji, Junhui Hou, Xu Li, Qian Du. tgrs, 55(8):4520-4533, 2017. [doi]

Hyperspectral Image Classification by Exploring Low-Rank Property in Spectral or/and Spatial DomainShaohui Mei, Qianqian Bi, Jingyu Ji, Junhui Hou, Qian Du. staeors, 10(6):2910-2921, 2017. [doi]

Invariant feature extraction for image classification via multi-channel convolutional neural networkShaohui Mei, Ruoqiao Jiang, Jingyu Ji, Jun Sun, Yang Peng, Yifan Zhang. ispacs 2017: 491-495 [doi]

Hyperspectral image super-resolution via convolutional neural networkShaohui Mei, Xin Yuan, Jingyu Ji, Shuai Wan, Junhui Hou, Qian Du. icip 2017: 4297-4301 [doi]

Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural NetworkShaohui Mei, Xin Yuan, Jingyu Ji, Yifan Zhang, Shuai Wan, Qian Du. remotesensing, 9(11):1139, 2017. [doi]

2016

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