Radar Polarimetry and Polarimetric SAR Interferometry represent the current culmination in ‘Microwave Remote Sensing’ technology based on the Antennas, Propagation, Radar and Systems. The purpose and procedure of polarimetry and polarimetric interferometry are shown in Fig. 1. With polarimetric radar sensing, it is possible to carry out 1) detection of targets, 2) decomposition of scattering me...

all-weather, dayand-night imaging capability for mapping the Earth’s surface. Through interferometric synthetic aperture radar (InSAR) technique, radar imagery can be used to map Earth surface characteristics and measure land surface deformation at an unprecedented precision and spatial resolution. This article introduces the basics of radar and InSAR imaging, summarizes the revolution of InSAR...

The objective of this paper is to introduce and describe the concept of using airborne gravimetry by strapdown INS/DGPS to reference mapping products derived from Interferometric Synthetic Aperture Radar (IFSAR) to the geoid. Calgary-based Intermap Technologies Ltd. is a digital mapping company that focuses on providing digital elevation models and ortho-rectified images using an interferometri...

In this paper we consider the problem of joint enhancement of multichannel Synthetic Aperture Radar (SAR) data. Previous work by Cetin and Karl introduced nonquadratic regularization methods for image enhancement using sparsity enforcing penalty terms. For multichannel data, independent enhancement of each channel is shown to degrade the relative phase information across channels that is useful...

Correlation between Interferometric Synthetic Aperture Radar (InSAR) pairs is essential for accurate interferometric phase estimation and digital elevation model (DEM) reconstruction. In this paper, a SAR simulator capable of generating Rayleigh and K-distributed terrain clutter and estimating correlation between InSAR passes will be presented. Furthermore, this simulator will be used to study ...

This paper formulates interferometric image reconstriiction as a 2D absolute phase estimation problem The original phase image is modeled as a sample of a Gauss Markov random field; the observations are the noisy in-phase (cosine) and quadrature (sine) images. The proposed solution combines features of the iterated conditional modes algorithm with nonlinear stochastic absolute phase estimation ...

Recent developments of wave polarization effects in radar remote sensing are summarized in historical sequence resulting in Radar Polarimetry, Radar Interferometry and Polarimetric SAR Interferometry, which represent the current culmination in airborne and space borne ‘Microwave Remote Sensing’ technology. Whereas with radar polarimetry the textural fine-structure, target orientation, symmetrie...