世界杯押注官网(亚洲)有限公司

张立保

基本信息

张立保
  •   职称:教授,博士生导师
  •   邮箱: libaozhang@163.com;libaozhang@bnu.edu.cn
 

学习经历

  • 1995.9-1999.6:吉林大学,电子信息工程专业,获学士学位。
  • 1999.9-2002.4:吉林大学,信号与信息处理专业,获硕士学位。
  • 2002.9-2005.6:吉林大学,通信与信息系统专业,获博士学位。

工作经历

  • 2019.9-今:任教于世界杯押注官网
  • 2005.8-2019.8:任教于公司信息科学与技术学院。
  • 分别于2005年、2009年及2016年获聘讲师、副教授、教授职称。

社会兼职

  • 担任“IEEE Transactions on Geoscience and Remote Sensing”、“IEEE Transactions on Industrial Electronics”、“IEEE Transactions on Multimedia”、“IEEE Transactions on Image Processing”、“IEEE Transactions on Neural Networks and Learning Systems”、“电子学报”、“自动化学报”与“光学学报”等重要学术刊物的特约审稿人。

研究领域

视觉显著性分析、语义分割、深度学习、图像增强、遥感图像处理、目标检测与识别、图像压缩与编码。

科研项目

主持或参加多项国家及北京市自然科学基金项目,主要包括:

  • 1、基于共性视觉特征与反馈机制的SAR图像目标检测方法研究(41771407),国家自然科学基金面上项目,主持;
  • 2、基于联合显著性分析的遥感影像感兴趣区域提取关键技术研究(61571050),国家自然科学基金面上项目,主持;
  • 3、基于ADL-IWT与人眼视觉关注模型的高空间分辨率遥感图像分级压缩(61071103),国家自然科学基金面上项目,主持;
  • 4、基于不同兴趣度的任意形状多感兴趣区图像编码方法研究(60602035),国家自然科学基金青年项目,主持。

获奖情况

  • 2021年获北京市本科毕业设计优秀指导教师称号。
  • 2014年获公司优秀研究生教学成果三等奖。
  • 2012年获公司第十一届励耘优秀青年教师奖。

代表论著

  • [1]Libao Zhang*, Hanlin Wu. Cosaliency detection and region-of-interest extraction via manifold ranking and MRF in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2022, vol. 60, 5604417: 1-17.
  • [2]Hanlin Wu, Libao Zhang*, Jie Ma. Remote sensing image super-resolution via saliency-guided feedback GANs. IEEE Transactions on Geoscience and Remote Sensing, 2022, vol. 60, 5600316: 1-16.
  • [3]Libao Zhang*, Jie Ma*. Salient object detection based on progressively supervised learning for remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(11): 9682-9696.
  • [4]Libao Zhang*, Jue Zhang*, Jie Ma, Xiuping Jia. SC-PNN: Saliency cascade convolutional neural network for pansharpening. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(11): 9697-9715.
  • [5]Jie Ma, Libao Zhang*, Yang Sun. ROI extraction based on multiview learning and attention mechanism for unbalanced remote sensing data set. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(9): 6210-6223.
  • [6]Libao Zhang*, Donghui Chen, Jie Ma, Jue Zhang. Remote-sensing image superresolution based on visual saliency analysis and unequal reconstruction networks. IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(6): 4099-4115.
  • [7]Libao Zhang*, Yingying Zhang. Airport detection and aircraft recognition based on two- layer saliency model in high spatial resolution remote-sensing images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(4): 1511-1524.
  • [8]Libao Zhang*, Aoxue Li, Zhongjun Zhang, Kaina Yang. Global and local saliency analysis for the extraction of residential areas in high-spatial-resolution remote sensing image. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 3750-3763.
  • [9]Libao Zhang*, Aoxue Li. Region-of-interest extraction based on saliency analysis of co-occurrence histogram in high spatial resolution remote sensing images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(5): 2111-2124.
  • [10]Libao Zhang*, Kaina Yang, Hao Li. Regions of interest detection in panchromatic remote sensing images based on multiscale feature fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(12): 4704-4716.