Haopeng Zhang

张浩鹏

Associate Professor

Bio

Dr. Haopeng Zhang 张浩鹏 is currently an Associate Professor with the Department of Aerospace Information Engineering (Image Processing Center), School of Astronautics. He is affiliated to the REMEX Lab.

This is my personal webpage. Formal English webpage is available at the university's website LINK.

中文主页
ORCID
publons
Google Scholar
dblp

Contact Information

address
D723, Main Building
Image Processing Center, School of Astronautics
9 Nansan Street, Shahe University Park, Changping District
Beijing, 102206, China
e-mail
zhanghaopeng@buaa.edu.cn OR haop.zhang@gmail.com
Tel.
+86 10 6171 6978
fax
+86 10 6171 6878

Research Interests

Artificial intelligence technologies, e.g. image processing, pattern recognition, computer vision, machine learning, etc., and their applications in aerospace exploration, remote sensing, and medical image analysis.

Special interests recently include

  • Deep learning
  • Image processing and analysis for remote sensing
  • Multi-view object detection and recognition
  • 3D object recognition and pose estimation
  • 3D reconstruction from 2D images
  • ...

Special Issue Call for Papers

Our Special Issue "Intelligent Processing and Analysis of Multi-Modal Remote Sensing Data" is now open for submission! Please check it out at the following link: https://www.mdpi.com/journal/remotesensing/special_issues/0DG2729SD7.

Call4Papers

News

March 18, 2024

Our paper "High-Resolution Feature Generator for Small Ship Detection in Optical Remote Sensing Images" has been published in IEEE Transactions on Geoscience and Remote Sensing and is available online at https://doi.org/10.1109/TGRS.2024.3377999. Congratulations to Sizhe Wen and Zhaoxiang Wei!

March 16, 2024

Our paper "Mining Oriented Information for Semi-Supervised Object Detection in Remote Sensing Images" has been accepted for inclusion in the International Joint Conference on Neural Networks (IJCNN) of IEEE WCCI 2024. Congratulations to Yuhao Wang!

Our paper "Satellite Video Super-Resolution via Unidirectional Recurrent Network and Various Degradation Modeling" has been accepted for inclusion in the IGARSS 2024 as an ORAL presentation. Congratulations to Xiaoyuan Wei!

March 8, 2024

Our paper "Addressing Sample Inconsistency for Semi-Supervised Object Detection in Remote Sensing Images" has been published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and is available online at https://doi.org/10.1109/JSTARS.2024.3374820. Congratulations to Yuhao Wang!

December 6, 2023

Our paper "Wavelet Transform Feature Enhancement for Semantic Segmentation of Remote Sensing Images" has been published in Remote Sensing and is available online at https://www.mdpi.com/2072-4292/15/24/5644. Congratulations to Yifan Li and Ziqian Liu!

October 19, 2023

Our paper "Deep-Learning-Based Direct Attitude Estimation for Uncooperative Known Space Objects" has been published in IEEE Transactions on Aerospace and Electronic Systems and is available online at https://doi.org/10.1109/TAES.2023.3325801. Congratulations to Sijia Qiao!

July 14, 2023

Our paper "Dynamic Informative Proposal-Based Iterative Training Procedure for Weakly Supervised Object Detection in Remote Sensing Images" has been published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and is available online at https://doi.org/10.1109/JSTARS.2023.3295732. Congratulations to Zhiwen Tan and Chen Guo!

June 5, 2023

Our paper "Infrared Small Target Detection Based on Prior Weighed Sparse Decomposition" has been accepted for presentation at IGTA 2023: Image and Graphics Technologies and Applications. Congratulations to Dongning Yang!

April 3, 2023

Our FOUR paper "Unsupervised Multi-Spectral Image Super-Resolution Based on Conditional Variational Autoencoder", "Rotated Ship Detection Based On Dense Points in High Resolution Remote Sensing Images", "Semi-Supervised Object Detection in Remote Sensing Images Based on Active Learning", and "DLAFNet: A Direct Fusion Method of 2D Aerial Image and 3D Lidar Point Cloud for Semantic Segmentation" have been accepted for inclusion in the IGARSS 2023, three ORAL presentations and one poster presentation. Congratulations to Zhexin Han, Yuhao Wang, Wei Liu, He Wang, Yicheng Qiao, and Bin Liang!

February 22, 2023

Our paper "WSODet: A Weakly Supervised Oriented Detector for Aerial Object Detection" has been published in IEEE Transactions on Geoscience and Remote Sensing and is available online at https://doi.org/10.1109/TGRS.2023.3247578. Congratulations to Zhiwen Tan and Chen Guo!

February 5, 2023

Our paper "A Closed-Loop Network for Single Infrared Remote Sensing Image Super-Resolution in Real World" has been published in Remote Sensing and is available online at https://www.mdpi.com/2072-4292/15/4/882. Congratulations to Cong Zhang!

November 24, 2022

Our paper "Deep-Learning-Based Satellite Relative Pose Estimation Using Monocular Optical Images and 3D Structural Information" has been published in Aerospace and is available online at https://www.mdpi.com/2226-4310/9/12/768. Congratulations to Sijia Qiao!

October 7, 2022

Our paper "Learning-Based Pose Estimation of Non-Cooperative Spacecrafts with Uncertainty Prediction" has been published in Aerospace and is available online at https://www.mdpi.com/2226-4310/9/10/592. Congratulations to Kecen Li!

June 10, 2022

Our paper "Few-Shot Multi-Class Ship Detection in Remote Sensing Images Using Attention Feature Map and Multi-Relation Detector" has been published in Remote Sensing and is available online at https://www.mdpi.com/2072-4292/14/12/2790. Congratulations to Xingyu Zhang!

Apri1 11, 2022

Our paper "A Two-Stage Shake-Shake Network for Long-tailed Recognition of SAR Aerial View Objects" has been accepted by the 18th IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS Workshop 2022) in conjunction with CVPR 2022. Congratulations to Gongzhe Li!

February 16, 2022

Our paper "Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network" has been published in IEEE Transactions on Geoscience and Remote Sensing and is available online at https://doi.org/10.1109/TGRS.2021.3123423. Congratulations to Zhongtian Ma!

January 22, 2022

Our paper "Multi-Frame Super-Resolution With Raw Images Via Modified Deformable Convolution" has been accepted for presentation at IEEE ICASSP 2022 . Congratulations to Gongzhe Li!

April 7, 2021

Our paper "Few-Shot Ship Classification in Optical Remote Sensing Images Using Nearest Neighbor Prototype Representation" has been published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and is available online at https://doi.org/10.1109/JSTARS.2021.3066539. Congratulations to Jiawei Shi!

March 17, 2021

Our paper "Self-Attention Fusion Module for Single Remote Sensing Image Super-Resolution" has been accepted for inclusion in the IGARSS 2021 for ORAL presentation. Congratulations to Han Mei!

February 20, 2021

Our paper "A Public Dataset for Fine-Grained Ship Classification in Optical Remote Sensing Images" has been published in Remote Sensing and is available online at https://www.mdpi.com/2072-4292/13/4/747. Congratulations to Yanghua Di!

July 16, 2020

Our paper "Single infrared remote sensing image super-resolution via supervised deep learning" has been accepted for inclusion in the SPIE Remote Sensing 2020 for ORAL presentation. Congratulations to Cong Zhang!

June 29, 2020

Our paper "Non-pairwise-trained Cycle Convolutional Neural Network for Single Remote Sensing Image Super-Resolution" has been accepted for publication in IEEE Transactions on Geoscience and Remote Sensing. Congratulations to Pengrui Wang!

June 8, 2020

Our paper "Deep Learning Based Electric Pylon Detection in Remote Sensing Images" has been published in Remote Sensing and is available online at https://www.mdpi.com/2072-4292/12/11/1857. Congratulations to Sijia Qiao and Yu Sun!

May 19, 2020

Our paper "Tracing Diagnosis Paths on Histology WSIs for Diagnostically Relevant Case Recommendation" has been accepted for inclusion in the MICCAI 2020. Congratulations to Yushan Zheng!

March 30, 2020

Our paper "A simple artificial neural network for fire detection using Landsat-8 data" has also been accepted for presentation to the ISPRS 2020 Congress. Congratulations to Zhuoran Liu, Kai Wu, and Rui Jiang!

March 03, 2020

Our paper "Moving ship detection and movement prediction in remote sensing videos" has been accepted for presentation to the ISPRS 2020 Congress. Congratulations to Yuhao Wang, Hanzhang Cheng, Xintong Zhou, and Wei Luo!

December 03, 2019

Our paper "Out-of-Region Keypoint Localization for 6D Pose Estimation" has been published in Image and Vision Computing and is available online at https://doi.org/10.1016/j.imavis.2019.103854. Congratulations to Xin Zhang!

July 23, 2019

Our paper "A Comparable Study of CNN-Based Single Image Super-Resolution for Space-Based Imaging Sensors" has been published in Sensors and is available online at https://www.mdpi.com/1424-8220/19/14/3234. Congratulations to Pengrui Wang and Cong Zhang!

July 09, 2019

Our paper "Real-Time 6D Pose Estimation from a Single RGB Image" has been accepted for publication in Image and Vision Computing and is available online at https://doi.org/10.1016/j.imavis.2019.06.013. Congratulations to Xin Zhang!

June 10, 2019

Our paper "Vision-Based Satellite Recognition and Pose Estimation Using Gaussian Process Regression" has been published in International Journal of Aerospace Engineering and is available online at https://www.hindawi.com/journals/ijae/2019/5921246/. Congratulations to Cong Zhang!

June 05, 2019

Our paper "Encoding histopathological WSIs using GNN for scalable diagnostically relevant regions retrieval" has been accepted for inclusion in the MICCAI 2019. Congratulations to Yushan Zheng!

May 27, 2019

Our THREE papers, "Chimney and condensing tower detection based on FPN in high-resolution remote sensing images", "A public dataset for ship classification in remote sensing images", and "Crop classification based on lightened convolutional neural networks in multispectral images", have been accepted for inclusion in the SPIE Remote Sensing 2019. Congratulations to Qin Deng, Yanghua Di, and Jiawei Shi!

May 10, 2019

Our paper "Deep Learning Based Fossil-Fuel Power Plant Monitoring in High Resolution Remote Sensing Images: A Comparative Study" has been published in Remote Sensing and is available online at https://www.mdpi.com/2072-4292/11/9/1117. Congratulations to Qin Deng!

April 06, 2019

Our paper "UNSUPERVISED REMOTE SENSING IMAGE SUPER-RESOLUTION USING CYCLE CNN" has been accepted for inclusion in the IGARSS 2019. Congratulations to Pengrui Wang!

March 29, 2019

Our paper "On-Board Ship Detection in Micro-Nano Satellite Based on Deep Learning and COTS Component" has been published in Remote Sensing and is available online at https://www.mdpi.com/2072-4292/11/7/762.