List of projects

MAPIS - EDA Project (2014-2017)

Multichannel passive ISAR imaging for military applications (MAPIS) is an international project funded by the European Defence Agency (Ad-Hoc Research and Technology Category B Project 2014/12-2017/12)

MAPIS is based on the APIS project, with extended goals: To study, define, analyse a new system concept for implementing and demonstrating ISAR imaging capability in a plug-in multistatic array passive radar finalized to target recognition. The objective of the MAPIS project is to study, define, analyze a new system concept for implementing and demonstrating ISAR imaging capability in a plug-in multistatic array passive radar for target recognition. The activity is focused on the system back-end to allow the passive radar having the following main characteristics:

  • the use of wideband IOs with specific analysis of satellite waveforms,
  • mission-oriented signal emitter auto-selection techniques;
  • adaptive target detection/tracking and ISAR imaging.


  • Consorzio Nazionale Interuniversitario per le Telecomunicazioni
  • Selex ES
  • MBDA Italia
  • University of Alcala
  • Fraunhofer Institute for High Frequency Physics and Radar Techniques
  • Warsaw University of Technology
  • Institute for Computer Science and Control, Hungarian Academy of Sciences
  • Budapest University of Tecnology and Economics 

Project staff:

Demos and publications

Coming soon.

DUSIREF - an ESA PECS Project (2013-2016)

DUSIREF (Dynamic Urban Scene Interpretation and REconstruction through remotely sensed data Fusion) is a joint project of the Distributed Events Analysis Research Laboratory (DEVA) of MTA SZTAKI and Airbus DS Geo Hungary Ltd., funded by the European Space Agency (ESA) under the PECS-HU framework (2013-2016). The main objective of the project is high level urban scene recognition and change interpretation based on heterogeneous Remote Sensing (RS) data sources (mainly optical and TerraSAR satellite images and LIDAR data). We aim to develop novel recognition and visualization methodologies relying on 4 dimensional (3 spatial and 1 temporal) data representation. We focus on highly multi-modal, multi-scaled and multi-temporal data collections, and build a unified database which is appropriate for answering user queries about events or changes in the RS data.

As of June 2015, the project has been extended to observe small natural areas within urban scenes. These natural patches may host important species and deliver essential ecosystem services and biodiversity surrounded by foreign environment.

Project staff:

Demos and publications

Virtual city reconstruction, Change Detection in Wetlands

Remote sensing PD-OTKA

OTKA #101598 "Comprehensive Remote Sensing Data Analysis, was a postdoctoral project funded by the Hungarian Scientific Research Fund between Jan. 2012 and Dec. 2014 (36 months).

Outline: Earth observation is a growing field of interest in various application areas, such as monitoring agricultural activity, detection of pollution and environmental crimes, management of urban area expansion, crisis management, including civil protection, or homeland security. However, the evaluation of the collected remotely needs exhausting human intervention up to now due to the rich and continuously augmenting content and various aspects of assessment. For this reason, necessity of automated recognition problems in remote sensing is raised by both national and international demands.
The work focuses on the research towards a generalized framework and procedure library for representing different targets, hierarchic structures and various levels of changes using remotely sensed 2-D images and 3-D (LIDAR, ISAR or DEM) data. The developed methods attempt to collect similar tasks appearing in different application areas, and handle them in a joint methodological approach. An important feature of the proposed models will be the separation of the data and application dependent elements from the abstract hierarchical structure which has various levels, such as pixel, region, object, object group and land cover class. Task definitions will origin from specific applications, followed by problem grouping, abstraction and generalization.

Project staff:

  • Principal investigator : Dr. Csaba Benedek
  • Student participants: Attila Börcs, Csaba Horváth, Oszkár Józsa, Péter Polcz, Balázs Nagy

Demos and publications

Featured results: Multi-level Object Population Analysis with an Embedded Marked Point Process model, with applications of automatic traffic monitoring and built-in area analysis. Change detection survey.

APIS - EDA Project (2010-2012)

APIS (Array Passive ISAR adaptive processing), was a European Defence Agency (EDA) project, "Innovative concepts & emerging technologies" - C3/1 Radar technologies- Processing, 2010-2012

Outline: detection and classification of small slow moving surface targets in presence of sophisticated jamming from airborne platforms is currently one of the more stringent need for new European Defence systems. Advanced radar systems with a high level of flexibility, reconfigurability modularity need high performance adaptive signal processing to fully exploit the radar potentiality.
A possible solution to match these requirements is to make use of passive radar in antenna array configuration. This new system concept is of great interest for operative military scenarios because
1) the absence of electromagnetic emission provides a Low Probability of Intercept (LPI)
2) the system is intrinsically coherent because it directly uses the signal transmitted by the illuminator of opportunity as the reference signal
3) Friendly radar emissions, typically present in the area under surveillance, can be exploited as illuminators of opportunity. Radar waveforms are more efficient than communication transmitted signals (better ambiguity function and spatial resolution).
Moreover, the use of a receiving array antenna allows:
1) Forming multiple beams for separating source reference channel from the surveillance
2) Reducing the direct signal interference, by creating suitable nulls on the beam pattern in the


  • INDRA Systemas (coordinator)
  • Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT)
  • University of Cyprus
  • University of Alcala
  • Vitrociset SPA
  • Institute for Computer Science and Control, Hungarian Academy of Sciences


Project staff:

Demos and publications

Target Detection, Recognition and Tracking in Inverse Synthetic Aperture Radar (ISAR) Images


Participants & funding:


Head of DEVA Laboratory: Prof. Tamás Szirányi

Technical contacts:

Dr. Andrea Manno-Kovacs

Dr. Csaba Benedek

DEVA administration: Anikó Vágvölgyi


Kende utca 13-17
H-1111 Budapest, Hungary
Tel: +36 1 279 6106
Fax: +36 1 279 6292

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