Remote Sensing

Center for Remote Sensing (CRS) at University of Iceland

• An inter-disciplinary group of researchers that are active in the field of Remote Sensing and Geographic Information Systems at the School of Engineering and Natural Sciences, University of Iceland
• [ WEBPAGE ]

Selected Publications

• Haut, J.M., Gallardo, J.A., Paoletti, M.E., Cavallaro, G., Plaza, J., Plaza, A., Riedel, M.: Cloud Deep Networks for Hyperspectral Image Analysis, IEEE Transactions on Geoscience and Remote Sensing, PP(99):1-17, 2019
  [ JOURNAL ] [ DOI ] [ GOOGLE SCHOLAR ] [ RESEARCHGATE ] [ MORE ]
• Cavallaro, G., Riedel, M., Richerzhagen, M., Benediktsson, J., Plaza, A.: On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Vol 9 (10), pp. 1-13, 2015
  [ JOURNAL ] [ DOI ] [ JUSER ] [ GOOGLE SCHOLAR ] [ RESEARCHGATE ] [ MORE ]
• Cavallaro, G., Bazi, Y., Melgani, F., Riedel, M.: Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), July 28 – August 2nd, 2019, Yokohama, Japan – to appear …
  [ EVENT ]
• Erlingsson, E., Cavallaro, G., Neukirchen, H., Riedel, M.: Scalable Workflows for Remote Sensing Data Processing with the DEEP-EST Modular Supercomputing Architecture, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), July 28 – August 2nd, 2019, Yokohama, Japan – to appear …
  [ EVENT ]
• Cavallaro, G., Kozlov, V., Goetz, M., Riedel, M.: Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems, in conference proceedings of the Big Data from Space (BiDS 2019) conference, February 19-21, 2019, Munich, Germany
  [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ]
• Lange, J., Cavallaro, G., Goetz, M., Erlingsson, E., Riedel, M.: The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), July 22-27, 2018, Valencia, Spain
  [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ]
• Erlingsson, E., Cavallaro, G., Riedel, M., Neukirchen, H.: Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), July 22-27, 2018, Valencia, Spain
  [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ]
• Memon, S., Cavallaro, G., Hagemeier, B., Riedel, M., Neukirchen, H.: Automated Analysis of Remotely Sensed Images using the UNICORE Workflow Management System, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), July 22-27, 2018, Valencia, Spain
  [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ]
• Cavallaro, G., Mura, M.D., Riedel, M., Benediktsson, J.A.: Tree-based Supervised Feature Extraction Method based on Self-dual Attribute Profiles, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2017), July 23-28, 2017, Fort Worth, Texas, USA
  [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ]
• Memon, M.S., Cavallaro, G., Riedel, M., Neukirchen, H.: Facilitating Efficient Data Analysis of Remotely Sensed Images using Standards-based Parameter Sweep Models, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2017), July 23-28, 2017, Fort Worth, Texas, USA
  [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ]
• Cavallaro, G., Riedel, M., Bodenstein, C., Glock, P., Richerzhagen, M., Geotz, M., Benediktsson, J.A.: Scalable Developments for Big Data Analytics in Remote Sensing, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2015), July 26-31, 2015, Milan, Italy
  [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ]
• Goetz, M., Richerzhagen, M., Bodenstein, C., Cavallaro, G., Glock,. P., Riedel, M., Benediktsson, J.A.: On Scalable Data Mining Techniques for Earth Science, in conference proceedings of International Conference on Computational Science (ICCS 2015), Sixth Workshop on Data Mining in Earth System Science (DMESS 2015), June 1-3, 2015, Reykjavik, Iceland
  [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ]
• Cavallaro, G., Riedel, M., Benediktsson, J.A., Goetz, M., Runarsson, T., Jonasson, K., Lippert, T.: Smart Data Analytics Methods for Remote Sensing Applications, in conference proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014), July 13-18, 2014, Quebec City, Canada
  [ EVENT ] [ DOI ] [ JUSER ] [ RESEARCHGATE ]

Social Media

Great talk by J. Belart: IcelandDEM: a high resolution, accurate & country-wide mosaic of elevation in #Iceland at our Center for Remote Sensing @uni_iceland @Haskoli_Islands @uisens using #HPC @NCSAatIllinois
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more: https://t.co/yV8JsvGKct
.@fz_juelich @fzj_jsc @DEEPprojects
. pic.twitter.com/YtxGOvqAJS

— Morris Riedel (@MorrisRiedel) October 13, 2019

Sieh dir diesen Beitrag auf Instagram an

Great talk by J. Belart: IcelandDEM: a high resolution, accurate & country-wide mosaic of elevation in #iceland at our Center for Remote Sensing @haskoli_islands @the_effective_communicators @von_hi using #HPC #highperformancecomputing @ncsa_at_illinois . more: buff.ly/33saKfQ . @forschungszentrum_juelich #julichsupercomputingcenter DEEP Projects .

Ein Beitrag geteilt von Morris Riedel (@morrisriedel) am Okt 13, 2019 um 12:28 PDT