Szirányi Tamás
Remote Sensing for Earth Observation


Intézmény: Budapesti Műszaki és Gazdaságtudományi Egyetem
informatikai tudományok
Informatikai Tudományok Doktori Iskola

témavezető: Szirányi Tamás
helyszín (magyar oldal): Hálózati Rendszerek és Szolgáltatások Tanszék
helyszín rövidítés: HIT

A kutatási téma leírása:

Detailed description of the research topic:
Remote sensing based on multimodal images has a great value today, since we have more and more cameras on the boards of airplanes (including UAVs) and satellites. Application areas include surveillance, observation of protected natural reserves, traffic monitoring and automatic mapping and change detection.
In complex Geographic Information Systems (GIS) space borne, airborne and terrestrial RS data is jointly utilized. The processed sources are mostly multimodal optical imagery (in visible or infrared spectrum), Synthetic Aperture Radar (SAR), Digital Evaluation Model (DEM) synthesis, or LIght Detection And Ranging (LIDAR) scanning. Real-world challenges need an efficient collaboration of many approaches coming from diverse domains. To enable such integration, appropriate data description and handling models are required.
The different image sources can be joined in Markov Random Field approach, where this MRF model is segmented on the multiple sources by stochastic optimization, resulting in a fused model of MRF.
The proposed task of the applicant includes:
• Basic image processing and pattern recognition methodology
• Structuring Multilayer Markov Random Field models
• Machine Learning approaches, deep Neural Network solutions
• Semantic interpretation of image contents and change detection through image samples of different time instants

előírt nyelvtudás: angol
további elvárások: 
Further requirements, Expected background:
• The applicants are preferred with good knowledge in computer vision and machine learning;
• Good math, programming in MATLAB and C/C++ >

felvehető hallgatók száma: 1

Jelentkezési határidő: 2019-06-14

Minden jog fenntartva © 2007, Országos Doktori Tanács - a doktori adatbázis nyilvántartási száma az adatvédelmi biztosnál: 02003/0001. Program verzió: 2.2358 ( 2017. X. 31. )