Interferometric methods are well established in optics and radio astronomy. In recent years, interferometric concepts have been applied successfully to synthetic aperture radar (SAR) and have opened up new possibilities in the area of earth remote sensing. However interferometric SAR applications require thorough phase control through the imaging process. The phase accuracy of SAR images is aff...

Recent theoretical analyses of ionospheric distortions in low-frequency SAR signals have indicated many effects that are likely to affect the quality of SAR, interferometric SAR (InSAR), and polarimetric SAR (PolSAR) data (see [1-5]). Faraday rotation, relative range shifts, internal deformations of the image amplitude, range and azimuth blurring, and interferometric phase errors are some of th...

Synthetic Aperture Radar (SAR) is an indispensable source of information in earth observation since SAR is the only spaceborne sensor that has highresolution, all-weather and day-and-night imaging capability. Within the next 10 years more than 20 spaceborne SAR systems from different nations will be launched. Increased demand for larger swath width and higher geometric resolution poses contract...

Polarimetry is the measurement and interpretation of different polarizations of electro-magnetic waves. Synthetic Aperture Radar (SAR) has been proven to be a powerful earth observation tool and emerging Polarimetric SAR (POLSAR) adds another dimension to SAR information content. Polarimetric SAR has been used in retrieval of soil moisture and surface roughness, snow and ice mapping and land-co...

This paper presents faster Specific Absorption Rate (SAR) measurement techniques based on a previously proposed estimation method. This estimation method theoretically estimates the SAR from a 2-D scanned electric field (E-field) by basically applying the equivalence theorem and the image theory. The method reduces the SAR measurement time without sacrificing accuracy. We present the applicabil...

Texture recognition of synthetic aperture radar (SAR) images, an important technique in the remote sensing area, has been deeply interested in the past decade. It is a key method to analyze this special case of images in practical applications. Watershed transform seems to be a proper method utilized to segment images. However, speckle noise in SAR images and the low resolution of edges make th...

An automatical system for geocoding and calibration of Envisat ASAR products have been developed by NORUT IT in the Envisnow EC EESD FP 5 project. The project have used data from ESA AOE 785, Cat. 2458 and near-real time data from Kongsberg Satellite station. The software is adapted to the Envisnow snow covered area processing system, and works automatically for the Envisat ASAR modes IMP, IMS,...

This report describes an ontology data service (ODS) for supporting Search and Rescue (SaR) operations. The ontological model represents various aspects of the command, communication, and organisational structure of the SaR forces and the deployment and progress of a SaR operation. Furthermore, the ontology supports the semantic indexing of multimedia documents in the context of SaR processes a...

Spaceborne Synthetic Aperture Radar (SAR) is a unique tool for large scale Earth observation, but the current generation of SAR sensors suffers from some fundamental limitations with regard to their imaging and mapping capabilities. To overcome these limitations, several new instrument architectures and SAR imaging modes have been suggested that employ digital beamforming (DBF), multiple apertu...