Search Results - "Jiao, Licheng"

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  1. 1

    A Survey on the New Generation of Deep Learning in Image Processing by Jiao, Licheng, Zhao, Jin

    Published in IEEE access (2019)
    “…During the past decade, deep learning is one of the essential breakthroughs made in artificial intelligence. In particular, it has achieved great success in…”
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  2. 2
  3. 3

    Wishart Deep Stacking Network for Fast POLSAR Image Classification by Licheng Jiao, Fang Liu

    Published in IEEE transactions on image processing (01-07-2016)
    “…Inspired by the popular deep learning architecture, deep stacking network (DSN), a specific deep model for polarimetric synthetic aperture radar (POLSAR) image…”
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  4. 4

    Wishart Deep Stacking Network for Fast POLSAR Image Classification by Jiao, Licheng, Liu, Fang

    Published in IEEE transactions on image processing (01-07-2016)
    “…Inspired by the popular deep learning architecture, deep stacking network (DSN), a specific deep model for polarimetric synthetic aperture radar (POLSAR) image…”
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    Journal Article
  5. 5

    Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks by Gong, Maoguo, Zhao, Jiaojiao, Liu, Jia, Miao, Qiguang, Jiao, Licheng

    “…This paper presents a novel change detection approach for synthetic aperture radar images based on deep learning. The approach accomplishes the detection of…”
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  6. 6

    A two-stage hybrid ant colony optimization for high-dimensional feature selection by Ma, Wenping, Zhou, Xiaobo, Zhu, Hao, Li, Longwei, Jiao, Licheng

    Published in Pattern recognition (01-08-2021)
    “…•A two-stage algorithm for high-dimensional feature selection is proposed.•A advanced hybrid ant colony optimization algorithm is proposed.•Our method has good…”
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  7. 7

    POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information by Liu, Fang, Jiao, Licheng, Hou, Biao, Yang, Shuyuan

    “…Inspired by a popular deep neural network, i.e., deep belief network (DBN), a novel method for polarimetric synthetic aperture radar (POL-SAR) image…”
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  8. 8

    A Survey of Deep Learning-Based Object Detection by Jiao, Licheng, Zhang, Fan, Liu, Fang, Yang, Shuyuan, Li, Lingling, Feng, Zhixi, Qu, Rong

    Published in IEEE access (2019)
    “…Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in people's life, such as monitoring…”
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  9. 9

    A Novel Coarse-to-Fine Scheme for Automatic Image Registration Based on SIFT and Mutual Information by Gong, Maoguo, Zhao, Shengmeng, Jiao, Licheng, Tian, Dayong, Wang, Shuang

    “…Automatic image registration is a vital yet challenging task, particularly for remote sensing images. A fully automatic registration approach which is…”
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  10. 10

    A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images by Li, Yangyang, Peng, Cheng, Chen, Yanqiao, Jiao, Licheng, Zhou, Linhao, Shang, Ronghua

    “…With the rapid development of various technologies of satellite sensor, synthetic aperture radar (SAR) image has been an import source of data in the…”
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  11. 11

    New Hierarchical Saliency Filtering for Fast Ship Detection in High-Resolution SAR Images by Wang, Shigang, Wang, Min, Yang, Shuyuan, Jiao, Licheng

    “…The increasing resolution of synthetic aperture radar (SAR) images makes ship targets appear to be more structured and shaped and nevertheless contain many…”
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  12. 12

    Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification by Jiao, Licheng, Liang, Miaomiao, Chen, Huan, Yang, Shuyuan, Liu, Hongying, Cao, Xianghai

    “…Most of the existing spatial-spectral-based hyperspectral image classification (HSIC) methods mainly extract the spatial-spectral information by combining the…”
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  13. 13

    Remote Sensing Image Registration With Modified SIFT and Enhanced Feature Matching by Ma, Wenping, Wen, Zelian, Wu, Yue, Jiao, Licheng, Gong, Maoguo, Zheng, Yafei, Liu, Liang

    Published in IEEE geoscience and remote sensing letters (01-01-2017)
    “…The scale-invariant feature transform algorithm and its many variants are widely used in feature-based remote sensing image registration. However, it may be…”
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  14. 14

    A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image Registration by Wu, Yue, Ma, Wenping, Gong, Maoguo, Su, Linzhi, Jiao, Licheng

    Published in IEEE geoscience and remote sensing letters (01-01-2015)
    “…Robustness and accuracy are the two main challenging problems in feature-based remote sensing image registration. In this letter, a novel point-matching…”
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  15. 15

    Unsupervised Deep Feature Learning for Remote Sensing Image Retrieval by Tang, Xu, Zhang, Xiangrong, Liu, Fang, Jiao, Licheng

    Published in Remote sensing (Basel, Switzerland) (01-08-2018)
    “…Due to the specific characteristics and complicated contents of remote sensing (RS) images, remote sensing image retrieval (RSIR) is always an open and tough…”
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  16. 16

    Spectral Clustering Ensemble Applied to SAR Image Segmentation by Zhang, Xiangrong, Jiao, Licheng, Liu, Fang, Bo, Liefeng, Gong, Maoguo

    “…Spectral clustering (SC) has been used with success in the field of computer vision for data clustering. In this paper, a new algorithm named SC ensemble (SCE)…”
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  17. 17

    Adaptive Tracking for Periodically Time-Varying and Nonlinearly Parameterized Systems Using Multilayer Neural Networks by Chen, Weisheng, Jiao, Licheng

    Published in IEEE transactions on neural networks (01-02-2010)
    “…This brief addresses the problem of designing adaptive neural network tracking control for a class of strict-feedback systems with unknown time-varying…”
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  18. 18

    RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images by Li, Yangyang, Huang, Qin, Pei, Xuan, Jiao, Licheng, Shang, Ronghua

    Published in Remote sensing (Basel, Switzerland) (01-02-2020)
    “…Object detection has made significant progress in many real-world scenes. Despite this remarkable progress, the common use case of detection in remote sensing…”
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  19. 19

    A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables by Ma, Xiaoliang, Liu, Fang, Qi, Yutao, Wang, Xiaodong, Li, Lingling, Jiao, Licheng, Yin, Minglei, Gong, Maoguo

    “…State-of-the-art multiobjective evolutionary algorithms (MOEAs) treat all the decision variables as a whole to optimize performance. Inspired by the…”
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  20. 20

    Stacked Fisher autoencoder for SAR change detection by Liu, Ganchao, Li, Lingling, Jiao, Licheng, Dong, Yongsheng, Li, Xuelong

    Published in Pattern recognition (01-12-2019)
    “…•The original SAE is expanded to suit with the multiplicative noise in SAR change detection.•The features extracted by SFAE are more discriminative than the…”
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