About Me

Curriculum Vitae, Publications & Professional Activities

Biography

Zengfu Hou (侯增福) earned his Ph.D. from Beijing Institute of Technology (BIT) in June 2023, majoring in Information and Communication Engineering. From July 2023 to June 2025, he was employed by Beijing Honor Terminal Co., Ltd. as a senior engineer in graphics and image algorithm. He is currently a lecturer at the School of Information and Electrical Engineering, Hebei University of Engineering (HUE). His research interests are pattern recognition and hyperspectral image processing, including anomaly detection, target detection, change detection and object tracking, and image quality assessment.

Education

  • Ph.D. in Information and Communication Engineering, Beijing Institute of Technology, 2023

Experience

  • Lecturer, School of Information and Electrical Engineering, Hebei University of Engineering, 2025–present
  • Senior Engineer (Graphics and Image Algorithm), Beijing Honor Terminal Co., Ltd., 2023–2025

Publications

Journal Publications

  1. SiamBAG: Band Attention Grouping-based Siamese Object Tracking Network for Hyperspectral Videos
    Wei Li, Zengfu Hou, Jun Zhou, and Ran Tao
    IEEE Transactions on Geoscience and Remote Sensing, 2023 Corresponding
    Paper Code
  2. Spatial-spatial Weighted and Regularized Tensor Sparse Correlation Filter for Object Tracking in Hyperspectral Videos
    Zengfu Hou, Wei Li, Jun Zhou, and Ran Tao
    IEEE Transactions on Geoscience and Remote Sensing, 2022, vol. 60
    Paper Code
  3. Hyperspectral Change Detection Based on Multiple Morphological Profiles
    Zengfu Hou, Wei Li, Lu Li, Ran Tao, and Qian Du
    IEEE Transactions on Geoscience and Remote Sensing, 2022, vol. 60
    Paper Code
  4. Collaborative Representation with Background Purification and Saliency Weight for Hyperspectral Anomaly Detection
    Zengfu Hou, Wei Li, Ran Tao, Pengge Ma, and Weihua Shi
    Science China Information Sciences, 2022, 65(1):1–12
    Paper Code
  5. Three-Order Tucker Decomposition and Reconstruction Detector for Unsupervised Hyperspectral Change Detection
    Zengfu Hou, Wei Li, Ran Tao, and Qian Du
    IEEE JSTARS, 2021, vol. 14, pp. 6194–6205
    Paper Code
  6. Multipixel Anomaly Detection With an Unknown Pattern for Hyperspectral Imagery
    Jun Liu, Zengfu Hou, Wei Li, Ran Tao, Danilo Orlando, and Hongbin Li
    IEEE TNNLS, 2022, vol. 33, no. 10, pp. 5557–5567
    Paper Code
  7. Hyperspectral target detection based on transform domain adaptive constrained energy minimization
    Xiaobin Zhao, Zengfu Hou, Xin Wu, Wei Li, Pengge Ma, and Ran Tao
    International Journal of Applied Earth Observation and Geoinformation, 2021, 103: 102461
    Paper
  8. Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation
    Kun Tan, Zengfu Hou†, Fuyu Wu, Qian Du, and Yu Chen
    Remote Sensing, 2019, 11(11): 1318 Co-first
    Paper Code
  9. Anomaly detection in hyperspectral imagery based on low-rank representation incorporating a spatial constraint
    Kun Tan, Zengfu Hou†, Dongelei Ma, Yu Chen, and Qian Du
    Remote Sensing, 2019, 11(13): 1578 Co-first
    Paper Code
  10. 基于波段选择与学习字典的高光谱图像异常探测
    侯增福, 刘镕源, 闫柏琨, 等
    国土资源遥感, 2019, 31(1): 33–41
    Paper
  11. A Spectral-Spatial Fusion Anomaly Detection Method for Hyperspectral Imagery
    Zengfu Hou, Siyuan Cheng, and Ting Hu
    Preprint
    Paper Code
  12. A Joint Morphological Profiles and Patch-Tensor Change Detection for Hyperspectral Imagery
    Zengfu Hou, and Wei Li
    Preprint
    Paper

Conference Publications

  1. A Patch Tensor-based Change Detection for Hyperspectral Images
    Zengfu Hou, Wei Li, and Qian Du
    IEEE IGARSS, 2021, pp. 4328–4331
    Paper
  2. A Background Refinement Collaborative Representation Method with Saliency Weight for Hyperspectral Anomaly Detection
    Zengfu Hou, Wei Li, Lianru Gao, Bing Zhang, Pengge Ma, and Junlin Sun
    IEEE IGARSS, 2020, pp. 2412–2415
    Paper
  3. Novel Hyperspectral Anomaly Detection based on Unsupervised Regularized Subspace
    Zengfu Hou, Yu Chen, Kun Tan, and Peijun Du
    ISPRS Archives, 2018, 42(3)
    Paper
  4. An Improved Unsupervised Nearest Regularized Subspace Method for Hyperspectral Anomaly Detection
    Zengfu Hou, Kun Tan, Yu Chen, and Peijun Du
    International Conference on Advanced Remote Sensing, 2018
    Paper

Patents

  1. 屏幕的亮度均匀性检测方法和检测设备
    侯增福, 李想, 赵天宇
    ZL202411245380.5, 2025 已授权
  2. 图像处理方法及相关设备
    伍德亮, 侯增福, 唐巍, 王龙
    CN202410616355.7, 2024 已授权
  3. 一种基于多域特征聚合的红外小目标检测方法
    赵明晶, 李禄, 马英杰, 高文斌, 侯增福, 马炜玉
    CN202511617461.8, 2025 申请中

Software Development

The following are some software tools developed in recent years based on Python and MATLAB. All rights reserved. Currently, these are protected by copyright, and some have been delivered to enterprise departments for application.

HRSATD Software

HRSATD

Development for hyperspectral imagery anomaly detection and target detection. [Python]

ITAA Software

ITAA

Development for infrared imagery testing and analysis access. [Python]

ImgProcess Software

ImgProcess

Development for infrared small target detection. [MATLAB]

SHSICD Software

SHSICD

Development for hyperspectral change detection. [Python]

HIAAT Software

HIAAT

Development for hyperspectral anomaly detection. [Python]

Professional Affiliations

Served as an active reviewer for the following journals and conferences:

  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
  • IEEE Geoscience and Remote Sensing Letters (GRSL)
  • IEEE Signal Processing Letters (SPL)
  • Infrared Physics and Technology (INFPHY)
  • IET Image Processing
  • International Journal of Atmospheric and Oceanic Sciences
  • International Conference on Computer Science and Application Engineering (CSAE 2022)
  • IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2025, IGARSS 2026)