Dr. Michal Shimoni Profile

Dr. Michal Shimoni

Head of Analytics and Applications at Kuva Space Oy

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Author

Publications (16)

Proceedings Article | 14 June 2023 Presentation

Hyperfield: a large constellation of hyperspectral nanosatellites

Michal Shimoni, Tuomas Tikka, Jussi Mäkynen, Guillem Ballesteros Garcia

Proceedings Volume PC12519, PC125190B (2023) https://doi.org/10.1117/12.2663928

KEYWORDS: Artificial intelligence, Algorithm development, Visible radiation, Super resolution, Sensors, Satellites, Infrared radiation, Infrared imaging, Image quality, Image processing

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Proceedings Article | 13 June 2023 Presentation

Innovative AI-based modelling and computing techniques for improving real-time search and rescue operations in impaired environments.

Lennert Antson, Arthur Vandenhoeke, Guillem Ballesteros Garcia, Michal Shimoni

Proceedings Volume PC12528, PC1252803 (2023) https://doi.org/10.1117/12.2663915

KEYWORDS: Computer simulations, Driver's vision enhancers, Performance modeling, Imaging systems, Hyperspectral imaging, Visualization, Synthetic aperture radar, Sensors, Modeling, 3D modeling

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Proceedings Article | 4 October 2017 Presentation + Paper

Optimizing classification performance in an object-based very-high-resolution land use-land cover urban application

Stefanos Georganos, Tais Grippa, Sabine Vanhuysse, Moritz Lennert, Michal Shimoni, Eléonore Wolff

Proceedings Volume 10431, 104310I (2017) https://doi.org/10.1117/12.2278482

KEYWORDS: Remote sensing, Feature selection, Image classification, Classification systems, Earth sciences, Data modeling, Image analysis, Performance modeling, Statistical modeling, Digital filtering

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Proceedings Article | 6 September 2017 Paper

Methodology for heritage conservation in Belgium based on multi-temporal interferometry

L. Bejarano-Urrego, E. Verstrynge, M. Shimoni, J. Lopez, J. Walstra, P.-Y. Declercq, D. Derauw, R. Hayen, K. Van Balen

Proceedings Volume 10444, 104440Y (2017) https://doi.org/10.1117/12.2277691

KEYWORDS: Interferometry, Buildings

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Soil differential settlements that cause structural damage to heritage buildings are precipitating cultural and economic value losses. Adequate damage assessment as well as protection and preservation of the built patrimony are priorities at national and local levels, so they require advanced integration and analysis of environmental, architectural and historical parameters. The GEPATAR project (GEotechnical and Patrimonial Archives Toolbox for ARchitectural conservation in Belgium) aims to create an online interactive geo-information tool that allows the user to view and to be informed about the Belgian heritage buildings at risk due to differential soil settlements.

Multi-temporal interferometry techniques (MTI) have been proven to be a powerful technique for analyzing earth surface deformation patterns through time series of Synthetic Aperture Radar (SAR) images. These techniques allow to measure ground movements over wide areas at high precision and relatively low cost. In this project, Persistent Scatterer Synthetic Aperture Radar Interferometry (PS-InSAR) and Multidimensional Small Baseline Subsets (MSBAS) are used to measure and monitor the temporal evolution of surface deformations across Belgium.

This information is integrated with the Belgian heritage data by means of an interactive toolbox in a GIS environment in order to identify the level of risk. At country scale, the toolbox includes ground deformation hazard maps, geological information, location of patrimony buildings and land use; while at local scale, it includes settlement rates, photographic and historical surveys as well as architectural and geotechnical information. Some case studies are investigated by means of on-site monitoring techniques and stability analysis to evaluate the applied approaches.

This paper presents a description of the methodology being implemented in the project together with the case study of the Saint Vincent’s church which is located on a former colliery zone. For this building, damage is assessed by means of PSInSAR.

Proceedings Article | 17 May 2016 Paper

Advancing the retrievals of surface emissivity by modelling the spatial distribution of temperature in the thermal hyperspectral scene

M. Shimoni, R. Haelterman, P. Lodewyckx

Proceedings Volume 9840, 98400O (2016) https://doi.org/10.1117/12.2223749

KEYWORDS: 3D modeling, Thermal modeling, Data modeling, Hyperspectral imaging, Statistical analysis, Buildings, RGB color model, Temperature metrology, Sun, Image classification

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Proceedings Article | 22 October 2013 Paper

Combined airborne sensors in urban environment

Alwin Dimmeler, Hendrik Schilling, Michal Shimoni, Dimitri Bulatov, Wolfgang Middelmann

Proceedings Volume 8897, 88970U (2013) https://doi.org/10.1117/12.2028648

KEYWORDS: 3D modeling, Sensors, Data modeling, Data fusion, Roads, Image classification, Video, 3D image processing, LIDAR, Vegetation

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Proceedings Article | 11 June 2013 Paper

Hyperspectral reconnaissance in urban environment

Ingmar Renhorn, Veronique Achard, Maria Axelsson, Koen Benoist, Dirk Borghys, Xavier Briottet, Rob Dekker, Alwin Dimmeler, Ola Friman, Ingebjørg Kåsen, Stefania Matteoli, Maria Lo Moro, Thomas Olsvik Opsahl, Mark van Persie, Salvatore Resta, Hendrik Schilling, Piet Schwering, Michal Shimoni, Trym Vegard Haavardsholm, Françoise Viallefont

Proceedings Volume 8704, 87040L (2013) https://doi.org/10.1117/12.2019348

KEYWORDS: Sensors, Target detection, Data modeling, Reflectivity, Ions, Image sensors, Roads, Spatial resolution, Image resolution, Calibration

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Proceedings Article | 23 May 2013 Paper

Fusion of multispectral and stereo information for unsupervised target detection in VHR airborne data

Dirk Borghys, Mahamadou Idrissa, Michal Shimoni, Ola Friman, Maria Axelsson, Mikael Lundberg, Christiaan Perneel

Proceedings Volume 8745, 874514 (2013) https://doi.org/10.1117/12.2015968

KEYWORDS: Mid-IR, Target detection, Image fusion, Sensors, Distortion, Image processing, Georeferencing, Cameras, 3D acquisition, Image resolution

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Proceedings Article | 31 May 2012 Paper

Detection in urban scenario using combined airborne imaging sensors

Ingmar Renhorn, Maria Axelsson, Koen Benoist, Dirk Bourghys, Yannick Boucher, Xavier Briottet, Sergio De Ceglie, Rob Dekker, Alwin Dimmeler, Remco Dost, Ola Friman, Ingebjørg Kåsen, Jochen Maerker, Mark van Persie, Salvatore Resta, Piet Schwering, Michal Shimoni, Trym Vegard Haavardsholm

Proceedings Volume 8353, 83530I (2012) https://doi.org/10.1117/12.921473

KEYWORDS: Sensors, Airborne remote sensing, Spatial resolution, Image sensors, Target detection, Defense and security, Spectral resolution, Environmental sensing, Infrared radiation, Thermography

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Proceedings Article | 3 May 2012 Paper

Combination of different SAR modalities for geospatial intelligence applications in a harbor environment

Dirk Borghys, Azzedine Bouaraba, Christiaan Perneel

Proceedings Volume 8394, 83940T (2012) https://doi.org/10.1117/12.918560

KEYWORDS: Synthetic aperture radar, Coherence (optics), Interferometry, Speckle, Artificial intelligence, Image classification, Data acquisition, Interferometric synthetic aperture radar, Satellites, Spatial resolution

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Proceedings Article | 12 November 2007 Paper

Change detection in urban scenes by fusion of SAR and hyperspectral data

Dirk Borghys, Michal Shimoni, Christiaan Perneel

Proceedings Volume 6749, 67490R (2007) https://doi.org/10.1117/12.738767

KEYWORDS: Synthetic aperture radar, Sensors, Image fusion, Polarimetry, Lawrencium, Roads, Data fusion, Speckle, Scattering, Image classification

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Urban areas are rapidly changing all over the world and therefore provoke the necessity to update urban maps frequently. Remote sensing has been used for many years to monitor these changes. The urban scene is characterized by a very high complexity, containing objects formed from different types of man-made materials as well as natural vegetation. Hyperspectral sensors provide the capability to map the surface materials present in the scene using their spectra and therefore to identify the main object classes in the scene in a relatively easy manner. However ambiguities persist where different types of objects are constructed of the same material. This is for instance the case for roads and roof covers. Although higher-level image processing (e.g. spatial reasoning) might be able to relief some of these constraints, this task is far from straight forward. In the current paper the authors fused information gathered using a hyperspectral sensor with that of high-resolution polarimetric SAR data. SAR data give information about the type of scattering backscatter from an object in the scene, its geometry and its dielectric properties. Therefore, the information obtained using the SAR processing is complementary to that obtained using hyperspectral data. This research was applied on a dataset consisting of hyperspectral data from the HyMAP sensor (126 channels in VIS-SWIR) and E-SAR data which consists of fullpolarimetric L-band and dual-polarisation (HH and VV) X-band data. Two supervised classifications are used; 'Logistic Regression' (LR) which applied to the SAR and the PolSAR data and a 'Matched Filter' which is applied to the hyperspectral data. The results of the classification are fused in order to improve the mapping of the main classes in the scene and were compared to a ground truth map that was constructed by combining a digital topographic map and a vectorized cadastral map of the research area. An adequate change detection of man-made objects in urban scenes was obtained by the fusion of features derived from SAR, PolSAR and hyperspectral data.

Proceedings Article | 13 October 2006 Paper

Imaging spectroscopy for coastal biogeochemistry of estuaries and plumes

M. Shimoni, M. Acheroy

Proceedings Volume 6360, 636004 (2006) https://doi.org/10.1117/12.689992

KEYWORDS: Optical filters, Scanning probe microscopy, Absorption, Imaging spectroscopy, Image filtering, Sensors, Mouth, Ecosystems, Carbon, Absorption filters

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Proceedings Article | 19 October 2005 Paper

Supervised classification of hyperspectral images using a combination of spectral and spatial information

Dirk Borghys, Michal Shimoni, Christiaan Perneel

Proceedings Volume 5982, 59820E (2005) https://doi.org/10.1117/12.626817

KEYWORDS: Lawrencium, Distance measurement, Image classification, Principal component analysis, Hyperspectral imaging, Roads, Palladium, Target detection, Data acquisition, Roentgenium

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Proceedings Article | 28 January 2002 Paper

Quality of topographic data from interferometry SAR DEM for hydrological researches: The case study of the Lesse and the Dendre rivers, Belgium

Michal Shimoni, Benoit Moermans, Bernard Hanquet, Sylvia Dautrebande

Proceedings Volume 4542, (2002) https://doi.org/10.1117/12.454188

KEYWORDS: Interferometric synthetic aperture radar, Interferometry, Synthetic aperture radar, Quality measurement, Geographic information systems, Radar, Error analysis, Solar radiation models, Satellites, Hydrology

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Proceedings Article | 28 January 2002 Paper

Salt diapir movements using SAR interferometry in the Lisan Peninsula, Dead Sea Rift

Michal Shimoni, Ramon Hanssen, Freek Van der Meer, B. Kampes, Eyal Ben-Dor

Proceedings Volume 4543, (2002) https://doi.org/10.1117/12.453964

KEYWORDS: Earthquakes, Interferometry, Synthetic aperture radar, Interferometric synthetic aperture radar, Double sideband modulation, Aerospace engineering, Earth sciences, Satellites, Civil engineering, Geodesy

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Proceedings Article | 23 January 2002 Paper

Searching for life in the Dead Sea: microbiological study using imaging spectroscopy

Michal Shimoni, Eyal Ben-Dor, Arnon Karnieli, Jerry Eichler, Freek Van der Meer, Hermann Kaufmann

Proceedings Volume 4545, (2002) https://doi.org/10.1117/12.453668

KEYWORDS: Microorganisms, Imaging spectroscopy, Sensors, Biological research, Reflectivity, Liquids, Remote sensing, Tolerancing, Spectroscopy, Statistical analysis

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Showing 5 of 16 publications

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