Volume XL-3/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W2, 121-125, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W2-121-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3/W2, 121-125, 2015
https://doi.org/10.5194/isprsarchives-XL-3-W2-121-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  10 Mar 2015

10 Mar 2015

PHASE NOISE INVESTIGATION OF MAXIMUM LIKELIHOOD ESTIMATION METHOD FOR AIRBORNE MULTIBASELINE SAR INTERFEROMETRY

C. Magnard, D. Small, and E. Meier C. Magnard et al.
  • Remote Sensing Laboratories, Department of Geography, University of Zurich, CH-8057 Zurich, Switzerland

Keywords: Synthetic aperture radar (SAR), Interferometry, Multibaseline, Maximum likelihood, Phase unwrapping, MEMPHIS, Millimeter wave radar, Ka-band

Abstract. The phase estimation of cross-track multibaseline synthetic aperture interferometric data is usually thought to be very efficiently achieved using the maximum likelihood (ML) method. The suitability of this method is investigated here as applied to airborne single pass multibaseline data. Experimental interferometric data acquired with a Ka-band sensor were processed using (a) a ML method that fuses the complex data from all receivers and (b) a coarse-to-fine method that only uses the intermediate baselines to unwrap the phase values from the longest baseline. The phase noise was analyzed for both methods: in most cases, a small improvement was found when the ML method was used.