In this paper, recently conceived polarimetric array signal processing techniques are applied for producing 3D images over forested scenes from multibaseline POL-InSAR observations. Subsequently, the optimal scattering mechanisms are investigated using polarimetric decomposition algorithms. The derived structural forest parameters serve as a basis for determining the biomass. This three-dimensi...

Synthetic Aperture Radar Interferometry (InSAR) is an established method for the detection and monitoring of earth surface processes. This approach has been most successful where the observed area fulfills specific requirements, such as sufficient backscattering, flat slope gradients or very slow changes of vegetation. We investigated the capability of two different InSAR techniques and achieve...

a r t i c l e i n f o Satellite Radar Interferometry (InSAR) is suited to monitoring ground deformation on the scale of volcanic arcs, providing insight into the eruptive cycle over both long and short time periods. However, these measurements are often contaminated with atmospheric artefacts caused by changes in the refractivity of the atmosphere. Here, we test the use of two large-scale atmos...

S U M M A R Y Long-term volcanic subsidence provides insight into intereruptive processes, which comprise the longest portion of the eruptive cycle. Ground-based geodetic surveys of Medicine Lake Volcano (MLV), northern CA, document subsidence at rates of∼−10 mm yr−1 between 1954 and 2004. The long observation period plus the duration and stable magnitude of this signal presents an ideal opport...

In this thesis, spectral analysis techniques are generalized to process polari-metric multibaseline interferometric SAR data. These polarimetric arraysignal processing algorithms are described in a rigorous mathematical wayand applied to urban areas. They permit the estimation of the reflectorheight, the scattering mechanism, and the polarimetric reflectivity. Fromsingle...

Since the quality of an inteferogram is still limited by the contributions of atmospheric variations and orbital uncertainties, the problem is to distinguish them from deformation signals. Thus, eliminating the geometric orbital error would improve the quality of an Interferometric Synthetic Aperture Radar (InSAR) image and make it easier to detect atmospheric artifacts. In this paper, we try t...

In the InSAR solution, uneven distribution of permanent scatterer candidates (PSCs) or slowly decoherent filtering phase (SDFP) pixel density in a region variable radar reflection feature can cause local low accuracy single interferometry. PSCs with higher-order coherence Permanent Scatter (PS-InSAR) are generally distributed those point targets urban built-up areas, and SDFP pixels Small Basel...

The current synthetic aperture radar (SAR) theory makes a quite restrictive assumption – linearity – in the SAR imaging model, for the convenience of mathematical derivation. That is to say the imaged area is considered as an ensemble of individual point scatterers whose scattered fields and, hence, their responses in the SAR image superimpose linearly [1]. This is the so called the first Born ...

Small Baseline Subset InSAR (SBAS InSAR) utilizes a series of synthetic aperture radar (SAR) interferograms to generate time that can analyze the surface displacements coherent points. Still, atmospheric errors in interferometric SAR (InSAR) measurements seriously affect reliability displacement series. In this article, new approach incorporating Generic Atmospheric Correction Online Service fo...

In this paper, an FPGA based UAV INSAR raw signal simulator is designed to address high computational complexity. It is based on a time domain raw signal generation algorithm and can compute in real time. This signal simulator is designed for Hardware-in-the-loop (HWIL) UAV INSAR simulation which can be used for UAV operator training and system verification. MultiFPGAs are used in this simulato...