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Viewing Publication 1 - 100 from 567

2024

Adapting Segment Anything Model for Change Detection in VHR Remote Sensing ImagesLei Ding 0008, Kun Zhu 0003, Daifeng Peng, Hao Tang 0005, Kuiwu Yang, Lorenzo Bruzzone. tgrs, 62:1-11, 2024. [doi]

Joint Spatio-Temporal Modeling for Semantic Change Detection in Remote Sensing ImagesLei Ding 0008, Jing Zhang, Haitao Guo, Kai Zhang 0010, Bing Liu 0018, Lorenzo Bruzzone. tgrs, 62:1-14, 2024. [doi]

Design and Verification of a Low-Cost Multispectral Camera for Precision Agriculture ApplicationMarko Barjaktarovic, Massimo Santoni, Lorenzo Bruzzone. staeors, 17:6945-6957, 2024. [doi]

A Method for the Characterization of the Interior of Pits From Single Spaceborne SAR ImagesLeonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro, Lorenzo Bruzzone. lgrs, 21:1-5, 2024. [doi]

Unsupervised CD in Satellite Image Time Series by Contrastive Learning and Feature TrackingYuxing Chen, Lorenzo Bruzzone. tgrs, 62:1-13, 2024. [doi]

A Novel Approach to Incomplete Multimodal Learning for Remote Sensing Data FusionYuxing Chen, Maofan Zhao, Lorenzo Bruzzone. tgrs, 62:1-14, 2024. [doi]

Super-Resolution of Radargrams With a Generative Deep Learning ModelElena Donini, Lorenzo Bruzzone, Francesca Bovolo. tgrs, 62:1-17, 2024. [doi]

Content-Guided Spatial-Spectral Integration Network for Change Detection in HR Remote Sensing ImagesYunlong Liu, Feng Zhang, Shanxin Zhang, Kai Zhang 0010, Jiande Sun 0001, Lorenzo Bruzzone. tgrs, 62:1-16, 2024. [doi]

Multiannual Change Detection Using a Weakly Supervised 3-D CNN in HR SITSKhatereh Meshkini, Francesca Bovolo, Lorenzo Bruzzone. lgrs, 21:1-5, 2024. [doi]

Extended Semantic Edge-Aware Filtering Profile for Hyperspectral Image ClassificationKunal Pradhan, Swarnajyoti Patra, Lorenzo Bruzzone. lgrs, 21:1-5, 2024. [doi]

Transfer-Aware Graph U-Net with Cross-Level Interactions for PolSAR Image Semantic SegmentationShijie Ren, Feng Zhou 0001, Lorenzo Bruzzone. remotesensing, 16(8):1428, April 2024. [doi]

Mapping and Analyzing the Spatiotemporal Patterns and Drivers of Multiple Ecosystem Services: A Case Study in the Yangtze and Yellow River BasinsYuanhe Yu, Zhouxuan Xiao, Lorenzo Bruzzone, Huan Deng. remotesensing, 16(2):411, January 2024. [doi]

DRFormer: Learning Disentangled Representation for Pan-Sharpening via Mutual Information- Based TransformerFeng Zhang, Kai Zhang 0010, Jiande Sun 0001, Jian Wang, Lorenzo Bruzzone. tgrs, 62:1-15, 2024. [doi]

Beyond Pixel-Level Annotation: Exploring Self-Supervised Learning for Change Detection With Image-Level SupervisionMaofan Zhao, Xinli Hu, Linlin Zhang, Qingyan Meng, Yuxing Chen, Lorenzo Bruzzone. tgrs, 62:1-16, 2024. [doi]

MarsMapNet: A Novel Superpixel-Guided Multiview Feature Fusion Network for Efficient Martian Landform MappingHui Zhao, Sicong Liu 0001, Xiaohua Tong, Qian Du 0001, Lorenzo Bruzzone, Kecheng Du, Jie Zhang, Xuanning Lu. tgrs, 62:1-16, 2024. [doi]

Hybrid FusionNet: A Hybrid Feature Fusion Framework for Multisource High-Resolution Remote Sensing Image ClassificationYongjie Zheng, Sicong Liu 0001, Hao Chen 0073, Lorenzo Bruzzone. tgrs, 62:1-14, 2024. [doi]

2023

Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big dataYansheng Li 0001, Xinwei Li, Yongjun Zhang 0002, Daifeng Peng, Lorenzo Bruzzone. aeog, 120:103345, June 2023. [doi]

SFFGL: A Semantic Feature Fused Global Learning Framework for Multiclass Change Detection in Hyperspectral ImagesLifeng Wang 0005, Junguo Zhang, Liguo Wang 0001, Lorenzo Bruzzone. lgrs, 20:1-5, 2023. [doi]

Relation Changes Matter: Cross-Temporal Difference Transformer for Change Detection in Remote Sensing ImagesKai Zhang 0010, Xue Zhao, Feng Zhang, Lei Ding 0008, Jiande Sun 0001, Lorenzo Bruzzone. tgrs, 61:1-15, 2023. [doi]

Spatial-Spectral Dual Back-Projection Network for PansharpeningKai Zhang 0010, Anfei Wang, Feng Zhang, Wenbo Wan, Jiande Sun 0001, Lorenzo Bruzzone. tgrs, 61:1-16, 2023. [doi]

ExtremeEarth: Managing Water Availability for Crops Using Earth Observation and Machine LearningFlorian Appel, Heike Bach, Silke Migdall, Manolis Koubarakis, George Stamoulis, Dimitris Bilidas, Despina-Athanasia Pantazi, Lorenzo Bruzzone, Claudia Paris, Giulio Weikmann. edbt 2023: 749-756 [doi]

A Dual-Branch Deep Learning Architecture for Multisensor and Multitemporal Remote Sensing Semantic SegmentationLuca Bergamasco, Francesca Bovolo, Lorenzo Bruzzone. staeors, 16:2147-2162, 2023. [doi]

Active Learning for Hyperspectral Image Classification Using Kernel Sparse Representation ClassifiersAmos Bortiew, Swarnajyoti Patra, Lorenzo Bruzzone. lgrs, 20:1-5, 2023. [doi]

Potential of Deep Learning for Forest Height Estimation from Tandem-X Bistatic Insar DataDaniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone. igarss 2023: 1481-1484 [doi]

A Deep Learning Framework for the Estimation of Forest Height From Bistatic TanDEM-X DataDaniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone. staeors, 16:8334-8352, 2023. [doi]

Advances in The Characterization of Caves From Spaceborne X-Band VHR Sar ImagesLeonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro, Lorenzo Bruzzone. igarss 2023: 1380-1383 [doi]

Analysis of Lava Tubes' Roughness and Radar Near-Nadir Regime Backscattering PropertiesLeonardo Carrer, Lorenzo Bruzzone. tgrs, 61:1-13, 2023. [doi]

A Novel Method for Hidden Natural Caves Characterization and Accessibility Assessment From Spaceborne VHR SAR ImagesLeonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro, Lorenzo Bruzzone. tgrs, 61:1-11, 2023. [doi]

Toward Open-World Semantic Segmentation of Remote Sensing ImagesYuxing Chen, Lorenzo Bruzzone. igarss 2023: 5045-5048 [doi]

ZeRGAN: Zero-Reference GAN for Fusion of Multispectral and Panchromatic ImagesWenxiu Diao, Feng Zhang, Jiande Sun 0001, Yinghui Xing, Kai Zhang 0010, Lorenzo Bruzzone. tnn, 34(11):8195-8209, November 2023. [doi]

Deep Learning for Unsupervised Denoising of Radar Sounder DataElena Donini, Alessandro Zuech, Lorenzo Bruzzone, Francesca Bovolo. igarss 2023: 7804-7807 [doi]

Lightweight Attention Network for Very High-Resolution Image Semantic SegmentationRenchu Guan, Mingming Wang, Lorenzo Bruzzone, Haishi Zhao, Chen Yang 0001. tgrs, 61:1-14, 2023. [doi]

A Multi-Feature Hyper-Temporal Change Vector Analysis Method for Change Detection in Multi-Annual Time Series of HR Satellite ImagesKhatereh Meshkini, Francesca Bovolo, Lorenzo Bruzzone. igarss 2023: 8315-8318 [doi]

Automated Machine Learning Driven Stacked Ensemble Modeling for Forest Aboveground Biomass Prediction Using Multitemporal Sentinel-2 DataParth Naik, Michele Dalponte, Lorenzo Bruzzone. staeors, 16:3442-3454, 2023. [doi]

A Dictionary-Based Integrated Simulation Approach to Model Large- and Small-Scale Coherent Surface Scattering Phenomena in Radar Sounder DataElisa Sbalchiero, Marco Cortellazzi, Sanchari Thakur, Lorenzo Bruzzone. tgrs, 61:1-19, 2023. [doi]

A Unified Two-Stage Spatial and Spectral Network With Few-Shot Learning for PansharpeningZhi Sheng, Feng Zhang, Jiande Sun 0001, Yanyan Tan, Kai Zhang 0010, Lorenzo Bruzzone. tgrs, 61:1-17, 2023. [doi]

Refining Land-Cover Weak Labels Using a Discrete Wavelet Transform Inspired Deep Adversarial ModelAbhishek Singh, Lorenzo Bruzzone. igarss 2023: 5387-5390 [doi]

WIANet: A Wavelet-Inspired Attention-Based Convolution Neural Network for Land Cover ClassificationAbhishek Singh, Lorenzo Bruzzone. lgrs, 20:1-5, 2023. [doi]

Multiyear Mapping of Water Demand at Crop Level: An End-to-End Workflow Based on High-Resolution Crop Type Maps and Meteorological DataGiulio Weikmann, Daniele Marinelli, Claudia Paris, Silke Migdall, Eva Gleisberg, Florian Appel, Heike Bach, Jim Dowling, Lorenzo Bruzzone. staeors, 16:6758-6775, 2023. [doi]

A Lightweight Transformer Network for Hyperspectral Image ClassificationXuming Zhang, Yuanchao Su, LianRu Gao, Lorenzo Bruzzone, Xingfa Gu, Qingjiu Tian. tgrs, 61:1-17, 2023. [doi]

Bi-Directional Temporal Modelling for Semantic Change Detection in Remote Sensing ImagesJing Zhang, Lei Ding 0008, Lorenzo Bruzzone. igarss 2023: 5503-5506 [doi]

Local and Long-Range Collaborative Learning for Remote Sensing Scene ClassificationMaofan Zhao, Qingyan Meng, Linlin Zhang, Xinli Hu, Lorenzo Bruzzone. tgrs, 61:1-15, 2023. [doi]

2N) for Hyperspectral Image ClassificationYongjie Zheng, Sicong Liu 0001, Lorenzo Bruzzone. lgrs, 20:1-5, 2023. [doi]

2022

RSCNet: A Residual Self-Calibrated Network for Hyperspectral Image Change DetectionLiguo Wang 0001, Lifeng Wang, Qunming Wang, Lorenzo Bruzzone. tgrs, 60:1-17, 2022. [doi]

Editorial Foreword to the Special Issue on Recent Advances in Multitemporal Remote-Sensing Data ProcessingSicong Liu 0001, Francesca Bovolo, Lorenzo Bruzzone, Xiaohua Tong, Qian Du. staeors, 15:776-778, 2022. [doi]

A Shallow-to-Deep Feature Fusion Network for VHR Remote Sensing Image ClassificationSicong Liu 0001, Yongjie Zheng, Qian Du 0001, Lorenzo Bruzzone, Alim Samat, Xiaohua Tong, Yanmin Jin, Chao Wang 0092. tgrs, 60:1-13, 2022. [doi]

Spatial and Spectral Extraction Network With Adaptive Feature Fusion for PansharpeningKai Zhang 0010, Anfei Wang, Feng Zhang, Wenxiu Diao, Jiande Sun 0001, Lorenzo Bruzzone. tgrs, 60:1-14, 2022. [doi]

Unsupervised Change Detection Using Convolutional-Autoencoder Multiresolution FeaturesLuca Bergamasco, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone. tgrs, 60:1-19, 2022. [doi]

Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X DataDaniel Carcereri, Paola Rizzoli, Dino Ienco, Jose Luis Bueso Bello, Carolina González, Stefano Puliti, Lorenzo Bruzzone. igarss 2022: 5773-5776 [doi]

Clutter Discrimination by Estimation of Direction of Arrival in Spaceborne Distributed Radar SoundersLeonardo Carrer, Sanchari Thakur, Lorenzo Bruzzone. igarss 2022: 1324-1327 [doi]

Subsurface Cavities Characterization from X-Band VHR Spaceborne SAR ImagesLeonardo Carrer, Davide Castelletti, Riccardo Pozzobon, Francesco Sauro, Lorenzo Bruzzone. igarss 2022: 1468-1471 [doi]

A Novel Approach to the Detection and Imaging of Candidate Martian Subglacial Water Bodies by Radar Sounder DataLeonardo Carrer, Lorenzo Bruzzone. tgrs, 60:1-15, 2022. [doi]

Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation FlyingLeonardo Carrer, Sanchari Thakur, Luca Sericati, Lorenzo Bruzzone. tgrs, 60:1-13, 2022. [doi]

AN Approach Based on Contrastive Learning and Vector Quantization to the Unsupervised Land-Cover Segmentation of Multimodal ImagesYuxing Chen, Lorenzo Bruzzone. igarss 2022: 4811-4814 [doi]

A Self-Supervised Approach to Pixel-Level Change Detection in Bi-Temporal RS ImagesYuxing Chen, Lorenzo Bruzzone. tgrs, 60:1-11, 2022. [doi]

Self-Supervised SAR-Optical Data Fusion of Sentinel-1/-2 ImagesYuxing Chen, Lorenzo Bruzzone. tgrs, 60:1-11, 2022. [doi]

Self-Supervised Change Detection in Multiview Remote Sensing ImagesYuxing Chen, Lorenzo Bruzzone. tgrs, 60:1-12, 2022. [doi]

Unsupervised Multiclass Change Detection for Multimodal Remote Sensing DataSanid Chirakkal, Francesca Bovolo, Arundhati Misra 0001, Lorenzo Bruzzone, Avik Bhattacharya. igarss 2022: 3223-3226 [doi]

Automatic Large-Scale Precise Mapping and Monitoring of Agricultural Fields at Country Level With Sentinel-2 SITSYady Tatiana Solano Correa, Khatereh Meshkini, Francesca Bovolo, Lorenzo Bruzzone. staeors, 15:3131-3145, 2022. [doi]

MP-ResNet: Multipath Residual Network for the Semantic Segmentation of High-Resolution PolSAR ImagesLei Ding, Kai Zheng, Dong Lin, Yuxing Chen, Bing Liu 0018, Jiansheng Li, Lorenzo Bruzzone. lgrs, 19:1-5, 2022. [doi]

Adversarial Shape Learning for Building Extraction in VHR Remote Sensing ImagesLei Ding, Hao Tang 0005, Yahui Liu, Yilei Shi, Xiao Xiang Zhu, Lorenzo Bruzzone. TIP, 31:678-690, 2022. [doi]

Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing ImagesLei Ding, Haitao Guo, Sicong Liu 0001, Lichao Mou, Jing Zhang, Lorenzo Bruzzone. tgrs, 60:1-14, 2022. [doi]

Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing ImagesLei Ding, Dong Lin, Shaofu Lin, Jing Zhang, Xiaojie Cui, Yuebin Wang, Hao Tang 0005, Lorenzo Bruzzone. tgrs, 60:1-13, 2022. [doi]

An Unsupervised Deep Learning Method for the Super-Resolution of Radar Sounder DataElena Donini, Amar Kasibovic, Miguel Hoyo García, Lorenzo Bruzzone, Francesca Bovolo. igarss 2022: 1696-1699 [doi]

A Deep Learning Architecture for Semantic Segmentation of Radar Sounder DataElena Donini, Francesca Bovolo, Lorenzo Bruzzone. tgrs, 60:1-14, 2022. [doi]

An Unsupervised Fuzzy System for the Automatic Detection of Candidate Lava Tubes in Radar Sounder DataElena Donini, Leonardo Carrer, Christopher Gerekos, Lorenzo Bruzzone, Francesca Bovolo. tgrs, 60:1-19, 2022. [doi]

Void-Volume-Based Stem Geometric Modeling and Branch-Knot Localization in Terrestrial Laser Scanning DataAravind Harikumar, Xinlian Liang, Francesca Bovolo, Lorenzo Bruzzone. staeors, 15:3024-3040, 2022. [doi]

Supervised Multi-Scale Attention-Guided Ship Detection in Optical Remote Sensing ImagesJianming Hu, Xiyang Zhi, Shikai Jiang, Hao Tang 0005, Wei Zhang, Lorenzo Bruzzone. tgrs, 60:1-14, 2022. [doi]

Forest Change Detection in Lidar Data Based on Polar Change Vector AnalysisDaniele Marinelli, Nicholas C. Coops, Douglas K. Bolton, Lorenzo Bruzzone. lgrs, 19:1-5, 2022. [doi]

An Approach Based on Deep Learning for Tree Species Classification in LiDAR Data Acquired in Mixed ForestDaniele Marinelli, Claudia Paris, Lorenzo Bruzzone. lgrs, 19:1-5, 2022. [doi]

A Triangulation-Based Technique for Tree-Top Detection in Heterogeneous Forest Structures Using High Density LiDAR DataDaniele Marinelli, Claudia Paris, Lorenzo Bruzzone. lgrs, 19:1-5, 2022. [doi]

Multilayer Feature Fusion Network With Spatial Attention and Gated Mechanism for Remote Sensing Scene ClassificationQingyan Meng, Maofan Zhao, Linlin Zhang, Wenxu Shi, Chen Su, Lorenzo Bruzzone. lgrs, 19:1-5, 2022. [doi]

Detecting Changes by Learning No Changes: Data-Enclosing-Ball Minimizing Autoencoders for One-Class Change Detection in Multispectral ImageryLichao Mou, Yuansheng Hua, Sudipan Saha, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu. tgrs, 60:1-16, 2022. [doi]

Deep Reinforcement Learning for Band Selection in Hyperspectral Image ClassificationLichao Mou, Sudipan Saha, Yuansheng Hua, Francesca Bovolo, Lorenzo Bruzzone, Xiao Xiang Zhu. tgrs, 60:1-14, 2022. [doi]

Generative Feature Extraction From Sentinel 1 and 2 Data for Prediction of Forest Aboveground Biomass in the Italian AlpsParth Naik, Michele Dalponte, Lorenzo Bruzzone. staeors, 15:4755-4771, 2022. [doi]

A Scalable High-Performance Unsupervised System for Producing Large-Scale HR Land Cover Maps: The Italian Country Case StudyClaudia Paris, Luca Gasparella, Lorenzo Bruzzone. staeors, 15:9146-9159, 2022. [doi]

An Interactive Strategy for the Training Set Definition Based on Active Self-Paced Learning Implemented on a Cloud-Computing PlatformClaudia Paris, Luca Orlandi, Lorenzo Bruzzone. lgrs, 19:1-5, 2022. [doi]

Full-Level Domain Adaptation for Building Extraction in Very-High-Resolution Optical Remote-Sensing ImagesDaifeng Peng, Haiyan Guan, Yufu Zang, Lorenzo Bruzzone. tgrs, 60:1-17, 2022. [doi]

Asymmetric Collaborative Network: Transferable Lifelong Learning for Remote Sensing ImagesJian Peng, Dingqi Ye, Lorenzo Bruzzone. igarss 2022: 5057-5060 [doi]

A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing DataGianmarco Perantoni, Lorenzo Bruzzone. tgrs, 60:1-15, 2022. [doi]

A Deep Learning Approach to Ship Detection and Characterization from Multiresolution Satellite SAR ImagesSergio Povoli, Mauro di Donna, Flavia Macina, Corrado Avolio, Massimo Zavagli, Mario Costantini, Lorenzo Bruzzone. igarss 2022: 643-646 [doi]

A Nonconvex Framework for Sparse Unmixing Incorporating the Group Structure of the Spectral LibraryLongfei Ren, Zheng Ma 0001, Francesca Bovolo, Lorenzo Bruzzone. tgrs, 60:1-19, 2022. [doi]

A Bayesian Approach to Active Self-Paced Deep Learning for SAR Automatic Target RecognitionHaohao Ren, Xuelian Yu, Lorenzo Bruzzone, Yukun Zhang, Lin Zou, Xuegang Wang. lgrs, 19:1-5, 2022. [doi]

Conditioning Jovian Burst Signals for Passive Sounding ApplicationsT. Maximillian Roberts, Andrew Romero-Wolf, Lorenzo Bruzzone, Leonardo Carrer, Sean T. Peters, Dustin M. Schroeder. tgrs, 60:1-14, 2022. [doi]

Change Detection in Image Time-Series Using Unsupervised LSTMSudipan Saha, Francesca Bovolo, Lorenzo Bruzzone. lgrs, 19:1-5, 2022. [doi]

A Method for Focusing Raw Simulated Radar Sounder DataElisa Sbalchiero, Sanchari Thakur, Lorenzo Bruzzone. igarss 2022: 8004-8007 [doi]

A Range-Doppler Method for Focusing Radar Sounder Data Generated by Coherent Electromagnetic SimulatorsElisa Sbalchiero, Sanchari Thakur, Lorenzo Bruzzone. tgrs, 60:1-19, 2022. [doi]

Data Augmentation Through Spectrally Controlled Adversarial Networks for Classification of Multispectral Remote Sensing ImagesAbhishek Singh, Lorenzo Bruzzone. igarss 2022: 651-654 [doi]

SIGAN: Spectral Index Generative Adversarial Network for Data Augmentation in Multispectral Remote Sensing ImagesAbhishek Singh, Lorenzo Bruzzone. lgrs, 19:1-5, 2022. [doi]

Mono- and Dual-Regulated Contractive-Expansive-Contractive Deep Convolutional Networks for Classification of Multispectral Remote Sensing ImagesAbhishek Singh, Lorenzo Bruzzone. lgrs, 19:1-5, 2022. [doi]

Analysis of Surface Clutter for Subsurface Radar Sounding on VenusSanchari Thakur, Elisa Nicolussi Paolaz, Elisa Sbalchiero, Lorenzo Bruzzone. igarss 2022: 1340-1343 [doi]

An Approach to the Assessment of Detectability of Subsurface Targets in Polar Ice From Satellite Radar SoundersSanchari Thakur, Elena Donini, Francesca Bovolo, Lorenzo Bruzzone. tgrs, 60:1-21, 2022. [doi]

Analysis of Earth's Ionosphere Effects on Englacial Layering Detectability in Spaceborne Radar Sounders DataSanchari Thakur, Leonardo Carrer, Lorenzo Bruzzone. lgrs, 19:1-5, 2022. [doi]

A Sub-Pixel Convolution-Based Residual Network for Hyperspectral Image Change DetectionLifeng Wang, Liguo Wan 0001, Lorenzo Bruzzone. igarss 2022: 1059-1062 [doi]

A CNN Ensemble Based on a Spectral Feature Refining Module for Hyperspectral Image ClassificationWei Yao, Cheng Lian, Lorenzo Bruzzone. remotesensing, 14(19):4982, 2022. [doi]

Better Memorization, Better Recall: A Lifelong Learning Framework for Remote Sensing Image Scene ClassificationDingqi Ye, Jian Peng, Haifeng Li 0007, Lorenzo Bruzzone. tgrs, 60:1-14, 2022. [doi]

A System for Burned Area Detection on Multispectral ImageryMassimo Zanetti, Sudipan Saha, Daniele Marinelli, Maria Lucia Magliozzi, Massimo Zavagli, Mario Costantini, Francesca Bovolo, Lorenzo Bruzzone. tgrs, 60:1-15, 2022. [doi]

Superpixel-Level Global and Local Similarity Graph-Based Clustering for Large Hyperspectral ImagesHaishi Zhao, Fengfeng Zhou, Lorenzo Bruzzone, Renchu Guan, Chen Yang 0001. tgrs, 60:1-16, 2022. [doi]

GCFnet: Global Collaborative Fusion Network for Multispectral and Panchromatic Image ClassificationHui Zhao, Sicong Liu 0001, Qian Du 0001, Lorenzo Bruzzone, Yongjie Zheng, Kecheng Du, Xiaohua Tong, Huan Xie, Xiaolong Ma. tgrs, 60:1-14, 2022. [doi]

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