Single Image Super-resolution for Polarimetric Imagery
Garrett C Sargent
Physical quantities associated with an optical field are the intensity, wavelength, coherence, and polarization. Typically, intensity of optical radiation across a scene over a waveband of interest is gathered. However, unlike polarization, this information does not provide information about the vector nature of the optical field. Polarization information describes the scene’s surface features, shape, shading, and roughness. As an example, polarization is particularly useful for infrared data where there may be little to no contrast in a scene, due to all the objects being in equilibrium with the background. Polarization information can be used to suppress the background and provide enhanced contrast where there was little to no contrast before. Polarization has many other useful applications, one of which is tracking objects that may contain no contrast difference in infrared data but are visible when polarization information is available. Such an example would be tracking small RC aircraft, where most of the aircraft is lost in the background in the infrared data but clearly distinguished with polarimetric information. Extra information can also be added to the polarimetric data through single-image super-resolution techniques. This is particularly useful for recovering high frequency components that are lost due to the nature of acquiring polarimetric imagery. Research suggests additional resolution can be obtained and applied to polarimetric data using state-of-the-art single-image super-resolution techniques.
Graduate Research - Graduate
Vijayan K Asari, Bradley Ratliff
Primary Advisor's Department
Electrical and Computer Engineering
Stander Symposium poster
"Single Image Super-resolution for Polarimetric Imagery" (2017). Stander Symposium Posters. 855.