Dr.-Ing. Behnood Rasti

Profile

Academic positionPost Doc
Research fieldsRemote Sensing,Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
KeywordsMachine Learning, Mulltisource Image Fusion, Environmental Monitoring, Remote Sensing, Mineralogical Mapping

Current contact address

CountryIceland
CityHafnarfjordur
InstitutionUniversity of Iceland
InstituteFaculty of Electrical and Computer Engineering

Host during sponsorship

Prof. Dr.-Ing. Pedram GhamisiHelmholtz-Institut Freiberg für Ressourcentechnologie, Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Freiberg
Start of initial sponsorship01/01/2020

Programme(s)

2019Humboldt Research Fellowship Programme for Postdocs

Publications (partial selection)

2022B. Rasti, B. Koirala, P. Scheunders and J. Chanussot,: MiSiCNet: Minimum Simplex Convolutional Network for Deep Hyperspectral Unmixing. In: IEEE Transactions on Geoscience and Remote Sensing, 2022,
2021Behnood Rasti, Bikram Koirala: SUnCNN: Sparse unmixing using unsupervised convolutional neural network. In: IEEE Geoscience and Remote Sensing Letters, 2021,
2021B Rasti, B Koirala, P Scheunders, P Ghamisi, R Gloaguen: Boosting Hyperspectral Image Unmixing Using Denoising: Four Scenarios. IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 2021.
2021C Li, R Hang, B Rasti: EMFNet: Enhanced Multisource Fusion Network for Land Cover Classification. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,
2021S Lorenz, P Ghamisi, M Kirsch, R Jackisch, B Rasti, R Gloaguen: Feature extraction for hyperspectral mineral domain mapping: A test of conventional and innovative methods. In: Remote Sensing of Environment, 2021,
2021B Rasti, P Ghamisi: Hyperspectral Denoising: From Conventional Techniques Towards Deep Learning Ones. CDCEO 2021: 1st Workshop on Complex Data Challenges in Earth Observation. CEUR Workshop Proceedings 2021.
2021Behnood Rasti: Hyperspectral Image Analysis: From Conventional Model-based Algorithms towards Deep Learning. Hyperspectral Imaging and Sounding of the Environment. Optical Society of America, 2021.
2021B Rasti, Y Chang, E Dalsasso, L Denis, P Ghamisi: Image restoration for remote sensing: Overview and toolbox. In: IEEE Geoscience and Remote Sensing Magazine, 2021,
2021Behnood Rasti, Pedram Ghamisi, Richard Gloaguen: OptFus: Optical Sensor Fusion For The Classification of Multi-source Data: Application to Mineralogical Mapping. In: IEEE Geoscience and Remote Sensing Letters, 2021,
2021B Rasti, B Koirala, P Scheunders, P Ghamisi: Spectral Unmixing Using Deep Convolutional Encoder-Decoder. IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 2021.
2021Pedram Ghamisi, Kasra Rafiezadeh Shahi, Puhong Duan, Behnood Rasti, Sandra Lorenz, Rene Booysen, Samuel Thiele, Isabel Cecilia Contreras Acosta, Moritz Kirsch, Richard Gloaguen: The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,
2021B Rasti, B Koirala, P Scheunders, P Ghamisi: UnDIP: Hyperspectral Unmixing Using Deep Image Prior. In: IEEE Transactions on Geoscience and Remote Sensing, 2021,
2021Kasra Rafiezadeh Shahi, Pedram Ghamisi, Behnood Rasti, Paul Scheunders, Richard Gloaguen: Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,
2021Kasra Rafiezadeh Shahi, Behnood Rasti, Pedram Ghamisi, Paul Scheunders, Richard Gloaguen: When is the Right Time to Apply Denoising?. IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 2021.
2020H Li, P Ghamisi, B Rasti, Z Wu, A Shapiro, M Schultz, A Zipf: A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks. In: Multidisciplinary Digital Publishing Institute, 2020,
2020Kasra Rafiezadeh Shahi, Pedram Ghamisi, Behnood Rasti, Robert Jackisch, Paul Scheunders, Richard Gloaguen: Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm. In: Multidisciplinary Digital Publishing Institute, 2020,
2020 Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jon Atli Benediktsson: Feature extraction for hyperspectral imagery: The evolution from shallow to deep: Overview and toolbox. In: IEEE Geoscience and Remote Sensing Magazine, 2020,
2020Behnood Rasti, Pedram Ghamisi, Richard Gloaguen: Fusion of Multispectral LiDAR and Hyperspectral Imagery. IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 2020.
2020P Duan, P Ghamisi, X Kang, B Rasti, S Li, R Gloaguen: Fusion of dual spatial information for hyperspectral image classification. In: IEEE Transactions on Geoscience and Remote Sensing, 2020,
2020B Rasti, B Koirala, P Scheunders, P Ghamisi: How Hyperspectral Image Unmixing and Denoising Can Boost Each Other. In: Multidisciplinary Digital Publishing Institute, 2020,
2020B Rasti, P Ghamisi, P Seidel, S Lorenz, R Gloaguen: Multiple Optical Sensor Fusion for Mineral Mapping of Core Samples. In: Sensors, 2020,
2020P Ghamisi, H Li, R Jackisch, B Rasti, R Gloaguen: Remote Sensing and Deep Learning for Sustainable Mining. IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 2020.
2020B Rasti, P Ghamisi: Remote sensing image classification using subspace sensor fusion. In: Information Fusion, 2020,
2020Richard Gloaguen, Moritz Kirsch, Sandra Lorenz, René Booysen, Robert Zimmermann, Pedram Ghamisi, Behnood Rasti: Towards 4D Virtual Outcrops with Hyperspectral Imaging. IEEE International Geoscience and Remote Sensing Symposium IGARSS. IEEE, 2020.