Puzhao Zhang

According to our database, Puzhao Zhang authored at least 22 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

EMSNet: Efficient Multimodal Symmetric Network for Semantic Segmentation of Urban Scene From Remote Sensing Imagery.

Yejian Zhou, Yachen Wang, Jie Su, Zhenyu Wen, Puzhao Zhang, Wen-An Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

Assessing Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 Data for Large-Scale Wildfire-Burned Area Mapping: Insights from the 2017-2019 Canada Wildfires.

Puzhao Zhang, Xikun Hu, Yifang Ban, Andrea Nascetti, Maoguo Gong

Remote. Sens., February, 2024

Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models.

Xikun Hu, Puzhao Zhang, Yifang Ban

Dataset, January, 2024

Near Real-Time Burned Area Progression Mapping With Multispectral Data Using Ensemble Learning.

Xikun Hu, Hao Wen, Puzhao Zhang, Ka-Veng Yuen, Ping Zhong

IEEE Geosci. Remote. Sens. Lett., 2024

2023

Beyond Pixel-Wise Unmixing: Spatial-Spectral Attention Fully Convolutional Networks for Abundance Estimation.

Jiaxiang Huang, Puzhao Zhang

Remote. Sens., December, 2023

Cross-View Object Geo-Localization in a Local Region With Satellite Imagery.

Yuxi Sun, Yunming Ye, Jian Kang, Rubén Fernández-Beltran, Shanshan Feng, Xutao Li, Chuyao Luo, Puzhao Zhang, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2023

Unsupervised Geospatial Domain Adaptation for Large-Scale Wildfire Burned Area Mapping Using Sentinel-2 MSI and Sentinel-1 SAR Data.

Puzhao Zhang, Yifang Ban

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Wildfire-S1S2-Canada: A Large-Scale Sentinel-1/2 Wildfire Burned Area Mapping Dataset Based on the 2017-2019 Wildfires in Canada.

Puzhao Zhang, Xikun Hu, Yifang Ban

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Gan-based SAR to Optical Image Translation in Fire-Disturbed Regions.

Xikun Hu, Puzhao Zhang, Yifang Ban

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Deep Learning for Wildfire Progression Monitoring Using SAR and Optical Satellite Image Time Series ; Djupinlärning för övervakning av skogsbränders utveckling med hjälp av tidsserier av SAR- och optiska satellittidsserier.

Puzhao Zhang

PhD thesis, 2021

2020

JL-GFDN: A Novel Gabor Filter-Based Deep Network Using Joint Spectral-Spatial Local Binary Pattern for Hyperspectral Image Classification.

Tao Zhang, Puzhao Zhang, Weilin Zhong, Zhen Yang, Fan Yang

Remote. Sens., 2020

2019

Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images.

Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu, Yifang Ban

IEEE Trans. Geosci. Remote. Sens., 2019

2018

A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images.

Jia Liu, Maoguo Gong, A. Kai Qin, Puzhao Zhang

IEEE Trans. Neural Networks Learn. Syst., 2018

Efficient Scene Labeling via Sparse Annotations.

Can Qin, Maoguo Gong, Yue Wu, Dayong Tian, Puzhao Zhang

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Superpixel-Based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images.

Maoguo Gong, Tao Zhan, Puzhao Zhang, Qiguang Miao

IEEE Trans. Geosci. Remote. Sens., 2017

Deep learning and mapping based ternary change detection for information unbalanced images.

Linzhi Su, Maoguo Gong, Puzhao Zhang, Mingyang Zhang, Jia Liu, Hailun Yang

Pattern Recognit., 2017

Generative Adversarial Networks for Change Detection in Multispectral Imagery.

Maoguo Gong, Xudong Niu, Puzhao Zhang, Zhetao Li

IEEE Geosci. Remote. Sens. Lett., 2017

DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework.

Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Coupled Dictionary Learning for Change Detection From Multisource Data.

Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu

IEEE Trans. Geosci. Remote. Sens., 2016

Feature-Level Change Detection Using Deep Representation and Feature Change Analysis for Multispectral Imagery.

Hui Zhang, Maoguo Gong, Puzhao Zhang, Linzhi Su, Jiao Shi

IEEE Geosci. Remote. Sens. Lett., 2016

Detecting multiple changes from multi-temporal images by using stacked denosing autoencoder based change vector analysis.

Linzhi Su, Jiao Shi, Puzhao Zhang, Zhao Wang, Maoguo Gong

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

DNN-Based Joint Classification for Multi-source Image Change Detection.

Wenping Ma, Zhizhou Li, Puzhao Zhang, Tianyu Hu

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016