Satellite and in-situ data acquired by the members and facilities at the center are processed and analyzed with cutting-edge technologies that are developed at the center. Such technologies include deep learning, Interferometric SAR(Bi-/Multi-Static SAR), Polarimetric SAR(PolSAR), signal processing, and data fusion in addition to other in-house algorithms and models. The data processed for various applications and analysis results from the data are utilized mainly for disaster monitoring, environmental change monitoring, and safety inspection.
Target monitoring in SAR imagery is essential to stable and continuous surveillance of martial objects and social infrastructures. Accompanied by the CNN-based object detector, robust target reconnaissance and successive data fusion of real-time and GIS information are becoming possible and favorable. Typical examples of target detection include vessel monitoring using deep learning, whose results were effectively integrated to AIS information and SAR interferometry..
Periodical inspection of civil engineering infrastructures such bridges, buildings, nuclear power plants, port facilities, oil storage tanks are important for preventive performance. Spaceborne InSAR technique provides a promising solution to monitor the health of the infrastructures before failing, with millimeter accuracy. Satellite based infrastructural monitoring minimizes the assessment cost and time over existing conventional surveying techniques.
A satellite SAR can image a large area of the road network compared to conventional traffic sensors. Multiple receiving apertures of SAR enable to detect ground moving targets through Along-Track Interferometry (ATI) and Displaced Phase Center Array (DPCA) techniques. Detect and measure trucks and passenger cars on the major roads. Indicate near-real-time traffic-flow measurement using satellite-based multiple aperture SAR.