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Puzhao Zhang
Puzhao Zhang
KTH-Royal Institue of Technology
Verified email at kth.se
Title
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Cited by
Year
A deep convolutional coupling network for change detection based on heterogeneous optical and radar images
J Liu, M Gong, K Qin, P Zhang
IEEE transactions on neural networks and learning systems 29 (3), 545-559, 2016
4132016
Change detection based on deep feature representation and mapping transformation for multi-spatial-resolution remote sensing images
P Zhang, M Gong, L Su, J Liu, Z Li
ISPRS Journal of Photogrammetry and Remote Sensing 116, 24-41, 2016
2842016
Feature learning and change feature classification based on deep learning for ternary change detection in SAR images
M Gong, H Yang, P Zhang
ISPRS Journal of Photogrammetry and Remote Sensing 129, 212-225, 2017
2322017
Near real-time wildfire progression monitoring with Sentinel-1 SAR time series and deep learning
Y Ban, P Zhang, A Nascetti, AR Bevington, MA Wulder
Scientific reports 10 (1), 1322, 2020
1952020
Superpixel-based difference representation learning for change detection in multispectral remote sensing images
M Gong, T Zhan, P Zhang, Q Miao
IEEE Transactions on Geoscience and Remote sensing 55 (5), 2658-2673, 2017
1922017
Feature-level change detection using deep representation and feature change analysis for multispectral imagery
H Zhang, M Gong, P Zhang, L Su, J Shi
IEEE Geoscience and Remote Sensing Letters 13 (11), 1666-1670, 2016
1502016
Generative adversarial networks for change detection in multispectral imagery
M Gong, X Niu, P Zhang, Z Li
IEEE Geoscience and Remote Sensing Letters 14 (12), 2310-2314, 2017
1202017
Coupled dictionary learning for change detection from multisource data
M Gong, P Zhang, L Su, J Liu
IEEE Transactions on Geoscience and Remote sensing 54 (12), 7077-7091, 2016
1112016
Deep learning and mapping based ternary change detection for information unbalanced images
L Su, M Gong, P Zhang, M Zhang, J Liu, H Yang
Pattern Recognition 66, 213-228, 2017
622017
Learning U-Net without forgetting for near real-time wildfire monitoring by the fusion of SAR and optical time series
P Zhang, Y Ban, A Nascetti
Remote Sensing of Environment 261, 112467, 2021
592021
Iterative feature mapping network for detecting multiple changes in multi-source remote sensing images
T Zhan, M Gong, J Liu, P Zhang
ISPRS Journal of Photogrammetry and Remote Sensing 146, 38-51, 2018
422018
Unsupervised difference representation learning for detecting multiple types of changes in multitemporal remote sensing images
P Zhang, M Gong, H Zhang, J Liu, Y Ban
IEEE Transactions on Geoscience and Remote Sensing 57 (4), 2277-2289, 2018
422018
An implicit radar convolutional burn index for burnt area mapping with Sentinel-1 C-band SAR data
P Zhang, A Nascetti, Y Ban, M Gong
ISPRS Journal of Photogrammetry and Remote Sensing 158, 50-62, 2019
322019
Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models
X Hu, P Zhang, Y Ban
ISPRS Journal of Photogrammetry and Remote Sensing 196, 228-240, 2023
162023
JL-GFDN: A novel gabor filter-based deep network using joint spectral-spatial local binary pattern for hyperspectral image classification
T Zhang, P Zhang, W Zhong, Z Yang, F Yang
Remote Sensing 12 (12), 2016, 2020
142020
Detecting multiple changes from multi-temporal images by using stacked denosing autoencoder based change vector analysis
L Su, J Shi, P Zhang, Z Wang, M Gong
2016 International Joint Conference on Neural Networks (IJCNN), 1269-1276, 2016
142016
GAN-based SAR and optical image translation for wildfire impact assessment using multi-source remote sensing data
X Hu, P Zhang, Y Ban, M Rahnemoonfar
Remote Sensing of Environment, 2023
72023
Efficient scene labeling via sparse annotations
C Qin, M Gong, Y Wu, D Tian, P Zhang
Workshops at the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
62018
Wildfire-S1S2-Canada: A Large-Scale Sentinel-1/2 Wildfire Burned Area Mapping Dataset Based on the 2017–2019 Wildfires in Canada
P Zhang, X Hu, Y Ban
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
52022
DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework.
P Zhang, M Gong, H Zhang, J Liu
IJCAI, 3413-3419, 2017
42017
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Articles 1–20