| 2024 | IGARSS | Dimensional Dilemma: Navigating the Fusion of Hyperspectral and Lidar Point Cloud Data for Optimal Precision - 2D vs. 3D. | Aldino Rizaldy, Ahmed J. Afifi, Pedram Ghamisi, Richard Gloaguen |
| 2024 | IGARSS | MineNet-CD: Global Mining Change Detection Dataset. | Weikang Yu, Samiran Das, Aldino Rizaldy, Xiaokang Zhang, Richard Gloaguen, Pedram Ghamisi |
| 2024 | IGARSS | Towards 3D Hyperspectral Imaging. | Richard Gloaguen, Aldino Rizaldy, Ahmed J. Afifi, Sandra Lorenz, Samuel T. Thiele, Moritz Kirsch, Pedram Ghamisi |
| 2024 | IGARSS | PolSARConvMixer: A Channel and Spatial Mixing Convolutional Algorithm for PolSAR Data Classification. | Ali Jamali, Swalpa Kumar Roy, Bing Lu, Avik Bhattacharya, Pedram Ghamisi |
| 2023 | ICIAP | Semi-supervised Classification for Remote Sensing Datasets. | Itza Hernandez-Sequeira, Rubn Fernndez-Beltran, Yonghao Xu, Pedram Ghamisi, Filiberto Pla |
| 2023 | IGARSS | Hyperspectral Domain Adaptation for the Detection of Material Types in Recycling Streams at the Example of Electrolyzers. | Behnood Rasti, Aayush Jain, Margret C. Fuchs, Pedram Ghamisi, Richard Gloaguen |
| 2022 | IGARSS | Unsupervised Deep Hyperspectral Inpainting Using a New Mixing Model. | Behnood Rasti, Pedram Ghamisi, Richard Gloaguen |
| 2022 | IGARSS | Hyperspectral Clustering Using Atrous Spatial-Spectral Convolutional Network. | Kasra Rafiezadeh Shahi, Pedram Ghamisi, Behnood Rasti, Paul Scheunders, Richard Gloaguen |
| 2022 | IGARSS | EOD: The IEEE GRSS Earth Observation Database. | Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hnsch |
| 2021 | CIKM | Hyperspectral Anomaly Detection based on Low-rank Structure Exploration. | Shizhen Chang, Pedram Ghamisi |
| 2021 | CIKM | CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. | Aleksandra Gruca, Pedro Herruzo, Pilar Rpodas, Andrzej Kucik, Christian Briese, Michael K. Kopp, Sepp Hochreiter, Pedram Ghamisi, David P. Kreil |
| 2021 | CIKM | Hyperspectral Denoising: From Conventional Techniques Towards Deep Learning Ones. | Behnood Rasti, Pedram Ghamisi |
| 2021 | CIKM | Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision. | Yonghao Xu, Pedram Ghamisi |
| 2021 | IGARSS | Spectral Unmixing Using Deep Convolutional Encoder-Decoder. | Behnood Rasti, Bikram Koirala, Paul Scheunders, Pedram Ghamisi |
| 2021 | IGARSS | Boosting Hyperspectral Image Unmixing Using Denoising: Four Scenarios. | Behnood Rasti, Bikram Koirala, Paul Scheunders, Pedram Ghamisi, Richard Gloaguen |
| 2021 | IGARSS | When is the Right Time to Apply Denoising? | Kasra Rafiezadeh Shahi, Behnood Rasti, Pedram Ghamisi, Paul Scheunders, Richard Gloaguen |
| 2020 | IGARSS | Fusion of Multispectral LiDAR and Hyperspectral Imagery. | Behnood Rasti, Pedram Ghamisi, Richard Gloaguen |
| 2020 | IGARSS | Sun Glint Removal of Hyperspectral Images via Texture-Aware Total Variation. | Puhong Duan, Jian Kang, Xudong Kang, Pedram Ghamisi, Shutao Li |
| 2020 | IGARSS | Intrinsic Image Decomposition-Based Resolution Enhancement for Mineral Mapping. | Puhong Duan, Pedram Ghamisi, Robert Jackisch, Xudong Kang, Richard Gloaguen, Shutao Li |
| 2020 | IGARSS | Remote Sensing and Deep Learning for Sustainable Mining. | Pedram Ghamisi, Hao Li, Robert Jackisch, Behnood Rasti, Richard Gloaguen |
| 2020 | IGARSS | Towards 4D Virtual Outcrops with Hyperspectral Imaging. | Richard Gloaguen, Moritz Kirsch, Sandra Lorenz, Ren Booysen, Robert Zimmermann, Pedram Ghamisi, Behnood Rasti |
| 2019 | IGARSS | Multisensor Feature Fusion Using Low-Rank Modeling and Component Analysis. | Behnood Rasti, Pedram Ghamisi, Richard Gloaguen |
| 2019 | IGARSS | LW-ODF: A Light-Weight Object Detection Framework for Optical Remote Sensing Imagery. | Xin Wu, Danfeng Hong, Pedram Ghamisi, Wei Li, Ran Tao |
| 2019 | IGARSS | Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines. | Cecilia Contreras, Mahdi Khodadadzadeh, Pedram Ghamisi, Richard Gloaguen |
| 2019 | IGARSS | A Novel Composite Kernel Approach for Multisensor Remote Sensing Data Fusion. | Pedram Ghamisi, Behnood Rasti, Richard Gloaguen |
| 2019 | IGARSS | Multi-Source and multi-Scale Imaging-Data Integration to boost Mineral Mapping. | Richard Gloaguen, Margret C. Fuchs, Mahdi Khodadadzadeh, Pedram Ghamisi, Moritz Kirsch, Ren Booysen, Robert Zimmermann, Sandra Lorenz |
| 2018 | IGARSS | Feature Importance Analysis of Sentinel-2 Imagery for Large-Scale Urban Local Climate Zone Classification. | Chunping Qiu, Michael Schmitt, Pedram Ghamisi, Lichao Mou, Xiao Xiang Zhu |
| 2018 | IGARSS | Sparse and Smooth Feature Extraction for Hyperspectral Imagery. | Behnood Rasti, Magnus O. Ulfarsson, Pedram Ghamisi |
| 2018 | IGARSS | The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration. | Richard Gloaguen, Pedram Ghamisi, Sandra Lorenz, Moritz Kirsch, Robert Zimmermann, Ren Booysen, Louis Andreani, Robert Jackisch, Erik Hermann, Laura Tusa, Gabriel Unger, Cecilia Contreras, Mahdi Khodadadzadeh, Margret C. Fuchs |
| 2018 | IGARSS | Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images. | Mahdi Khodadadzadeh, Pedram Ghamisi, Cecilia Contreras, Richard Gloaguen |
| 2017 | IGARSS | Fully conv-deconv network for unsupervised spectral-spatial feature extraction of hyperspectral imagery via residual learning. | Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu |
| 2017 | IGARSS | Multimodal, multitemporal, and multisource global data fusion for local climate zones classification based on ensemble learning. | Naoto Yokoya, Pedram Ghamisi, Junshi Xia |
| 2017 | IGARSS | Multiple composite kernel learning for hyperspectral image classification. | Peijun Du, Junshi Xia, Pedram Ghamisi, Akira Iwasaki, Jn Atli Benediktsson |
| 2017 | IGARSS | Feature fusion of hyperspectral and lidar data using extinction profiles and total variation. | Pedram Ghamisi, Behnood Rasti, Xiao Xiang Zhu |
| 2017 | IGARSS | Hyperspectral images classification by fusing extinction profiles feature. | Nanjun He, Leyuan Fang, Shutao Li, Pedram Ghamisi, Jn Atli Benediktsson |
| 2017 | IGARSS | Evaluation of polsar similarity measures with spectral clustering. | Jingliang Hu, Yuanyuan Wang, Pedram Ghamisi, Xiao Xiang Zhu |
| 2016 | IGARSS | Deep fusion of hyperspectral and LiDAR data for thematic classification. | Yushi Chen, Chunyang Li, Pedram Ghamisi, Chunyu Shi, Yanfeng Gu |
| 2016 | IGARSS | Extinction profiles: A novel approach for the analysis of remote sensing data. | Pedram Ghamisi, Roberto Souza, Letcia Rittner, Jn Atli Benediktsson, Roberto A. Lotufo, Xiao Xiang Zhu |
| 2015 | IGARSS | An advanced classifier for the joint use of LiDAR and hyperspectral data: Case study in Queensland, Australia. | Pedram Ghamisi, Dan Wu, Gabriele Cavallaro, Jn Atli Benediktsson, Stuart R. Phinn, Nicola Falco |
| 2014 | IGARSS | Fusion of hyperspectral and LiDAR data in classification of urban areas. | Pedram Ghamisi, Jn Atli Benediktsson, Stuart R. Phinn |
| 2013 | IGARSS | The spectral-spatial classification of hyperspectral images based on Hidden Markov Random Field and its Expectation-Maximization. | Pedram Ghamisi, Jn Atli Benediktsson, Magnus O. Ulfarsson |
| 2013 | IGARSS | Spectral-spatial classification based on integrated segmentation. | Pedram Ghamisi, Micael S. Couceiro, Mathieu Fauvel, Jn Atli Benediktsson |
| 2012 | IGARSS | Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images. | Pedram Ghamisi, Micael S. Couceiro, Nuno M. F. Ferreira, Lalit Kumar |