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Remote sensing refers to the identification and characterization of targets, terrain, and phenomena using nocontact and nondestructive techniques using electromagnetic or acoustic waves. Remote sensing has emerged as a dynamic multidisciplinary research area with a wide range of applications in forefront of studies of the global environment, wide-area surveillance, planetary exploration, medical imaging, and subsurface detection.
In the RadLab, we investigate end-to-end remote sensing systems and applications. We collaborate with a number of other universities (MIT, UCLA, UCSB, UMT), US and foreign government agencies (NASA, USGS, DoD, CCRS, JAXA, ESA), and of course other units here on campus. Sensors and algorithms we study include synthetic aperture radars (SARs), radiometers, and ultrasound sensors. The investigation areas include:
- System-level design
- RF circuit design and fabrication
- Multiband/ultrawideband antenna design and fabrication
- System integration; system-in-a-box
- Field testing and calibration
- Physics-based signal processing
- Advanced scattering models for complex media
- High-resolution nonlinear inverse scattering techniques
- Mixed mode (microwave, optical, acoustic) nonlinear inversion
- Integration of sensors in smart sensor webs using computational control strategies
- Statistical classification of global satellite data sets for climate change studies