February 8, 2013
This talk will focus on the estimation of forest stand height (FSH) utilizing space-borne repeat-pass Interferometric Synthetic Aperture Radar (InSAR) correlation magnitude data at L-band. Because spaceborne repeat-pass InSAR correlation magnitude can often be sufficiently low such that it cannot be entirely attributed to volume scattering effects, contributions of the temporal change (e.g., reflectivity fluctuation, random motion of scatterers) that strongly influence the signature are need to be compensated. In our work, a model is used to create a relationship between the observed correlation magnitude and FSH and takes into account the effects of reflectivity fluctuation and random motion of scatterers. The inversion of this model is applied to ALOS/PALSAR repeat-pass observations over the state of Maine, US and the Injune Landscape Collaborative Project (ILCP) in Queensland, Australia, and compared with similar observations obtained by airborne/spaceborne LIDAR systems. As a data product, we created a state mosaic of FSH for Maine. The present FSH inversion model described in this talk is an alternative and complementary tool for other PolInSAR (Polarimetric InSAR) FSH inversion techniques when full or even dual-polarization data may not be available and is meant to serve as an observational prototype for NASA’s DESDynI-R and JAXA’s ALOS-2 satellite missions.
February 22, 2013
Super-pixels attempt to group contiguous image pixels which are in homogenous regions into super-pixels(segments).Most existing Super-pixel algorithms provide no guarantees on the uniformity inside a segment. We attempt tocreate a graph based-agglomerative approach using a hard threshold that will provide some basic guarantees on the uniformity inside a segment. We use these super-pixel representations to produce mineralogical summaries using simple unmixing algorithms. We also attempt to use the super-pixel representations and based on this create class-maps that can differentiate between the classes of pixels in the image.
March 8, 2013
Kan Fu: Preliminary results of a Ka-band airborne FMCW InSAR
The Topographic Ice Mapping Mission (TIMMi) instrument is a unique millimeter-wave interferometric radar system operating at 35GHz (Ka-band). The TIMMi system was deployed on an airborne platform in the summer of 2012. Collected radar data was processed and real-aperture images were generated. After that, we built a synthetic aperture radar (SAR) processor and were able to generate both magnitude and height (phase) images. In this talk, I will present preliminary results of the SAR processing, Doppler centroid estimation, and SAR interferometry.