In this paper, we present a Stationary Wavelet Transform (SWT) based method for the purpose of despeckling the Synthetic Aperture radar (SAR) images by applying a maximum a posteriori probability (MAP) condition to estimate the noise free wavelet coefficients. The solution of the MAP estimator is based on the assumption that the wavelet coefficients have a known distribution. Rayleigh distribut...

Various applications, like for instance algorithm design, mission planning, geo-referencing, change detection , Automatic Target Recognition (ATR) or SAR data analysis, rely on simulated synthetic aperture radar (SAR) images. However, there are different SAR simulation techniques with different advantages and disadvantages. Depending on the needs of a certain application, a suitable SAR simulat...

During the 1997 winter season, shipborne polarimetric backscatter measurements of Great Lakes (freshwater) ice types using the Jet Propulsion Laboratory C-band scatterometer, together with surface-based ice physical characterization measurements and environmental parameters, were acquired concurrently with Earth Resource Satellite 2 (ERS-2) and RADARSAT Synthetic Aperture Radar (SAR) data. This...

Normally, polarimetric SAR classification is a high-dimensional nonlinear mapping problem. In the realm of pattern recognition, sparse representation is a very efficacious and powerful approach. As classical descriptors of polarimetric SAR, covariance and coherency matrices are Hermitian semidefinite and form a Riemannian manifold. Conventional Euclidean metrics are not suitable for a Riemannia...

In the recent past, airborne Synthetic Aperture Radar (SAR) remote sensing has witnessed several principal and technical improvements. In particular, spatial resolution has been increased significantly, polarimetric SAR, polarimetric interferometric SAR, and tomographic SAR were introduced, and repeat-pass interferometric SAR was developed for airborne SAR sensors. These advances have made poss...

Sensor-management in tracking consists of sensor mode control and scheduling, target selection, and situation assessment. In a dynamic environment, airborne radar necessitates active mode control for the acquisition of a synthetic aperture radar (SAR) image of stationary targets. This paper discusses the control, fusion, and management of SAR sensors for target tracking and identification. 1.0 ...

In the areas with steep topography and vulnerable geological condition, landslide deformation monitoring is an important task for risk assessment and management. Differential Synthetic-Aperture Radar interferometry (D-InSAR) and Persistent Scatterer Interferometry (PS-InSAR) are two advanced SAR Interferometry techniques for detection, analysis and monitoring of slow moving landslides. The tech...

Radar Polarimetry Radar Interferometry and Polarimetric SAR Interferometry represent the current culmination in ‘Microwave Remote Sensing’ technology, but we still need to progress very considerably in order to reach the limits of physical realizability. Whereas with radar polarimetry the textural fine-structure, target orientation, symmetries and material constituents can be recovered with con...

This paper is based on the glimpse of a comparative analysis of image edge enhancement techniques of synthetic aperture radar (SAR) images. The importance of edge enhancement is very much significant for SAR image recognition and other purposes. The first portion of this paper is based on a novel edge enhancement algorithm based on 2D wavelet transform. This method also signifies the motive to ...

Landslide monitoring is important for geological disaster prevention, where Synthetic Aperture Radar (SAR) images have been widely used. Compared with the Interferometric SAR (InSAR) technique, intensity-based offset tracking methods (e.g., Normalized Cross-Correlation method) can overcome the limitation of InSAR’s maximum detectable displacement. The normalized cross-correlation (NCC) method, ...