Sea Surface Speed from Terrasar-x Ati Data
نویسندگان
چکیده
The paper presents a methods to retrieve the speed of the sea surface from Along Track Interferometry (ATI) data beside the typical use for target speed retrieval, which is also mentioned. The describe technique provides for a data prefiltering in order to obtain the necessary accuracy because of the law speed range of the currents. Furthermore, an example of target velocity estimation is provided. The results are validated by TerraSAR-X Dual Receive Antenna (DRA) ATI campaign that it was carried out on April and May 2010. The sea surface estimation is accurate and consistent with the real speed range.
منابع مشابه
Sea Surface Wind Field by X-band Terrasar-x and Tandem-x
In the present study, we present the newly developed Geophysical Model Function (GMF), denoted XMOD2, to retrieve the sea surface wind field from X-band TerraSAR-X/Tandem-X (TS-X/TD-X) data. In contrary to the previous XMOD1, XMOD2 is based on a nonlinear GMF, and moreover it also depicts the difference between upwind and downwind of the sea surface backscatter. By exploiting 371 collocations, ...
متن کاملMARITIME PRODUCTS USING TERRASAR-X and SENTINEL-1 IMAGERY
High resolution remote sensing Synthetic Aperture Radar (SAR) data from TerraSAR-X/Tandem-X satellites are used to determine and monitor the sea surface in near real time and all weather and illumination conditions. The radar backscatter of the sea surface is determined by the sea surface roughness caused by the wind field and the sea state. These meteo parameters are modelled by the newly deve...
متن کاملDerivation of Sea Surface Wind Directions from TerraSAR-X Data Using the Local Gradient Method
Derivation of sea surface wind direction is a key step of sea surface wind retrieval from spaceborne Synthetic Aperture Radar (SAR) data. This technical note describes an implementation of the Local Gradient (LG) method to derive sea surface wind directions at a scale of a few kilometers from X-band spaceborne SAR TerraSAR-X (TS-X) data in wide swath mode. The 180 ̋ ambiguity in the derived sea ...
متن کاملThe general methodology to derive the sea surface wind field from SAR is to apply an empirical Geophysical Model Function (GMF) to the calibrated SAR image using wind direction from external sources or wind streaks visible in SAR
Abstract— A Geophysical Model Function (GMF), denoted XMOD2, is developed to retrieve sea surface wind field from Xband TerraSAR-X/TanDEM-X (TS-X/TD-X) data. In contrast to the previously developed XMOD1, XMOD2 consists of a nonlinear GMF, and thus, it depicts the difference between upwind and downwind of the sea surface backscatter in X-band SAR imagery. By exploiting 371 collocations with i...
متن کاملIncorporating a Priori Knowledge into a Moving Vehicle Detector for Terrasar-x Data
Rising interest in traffic monitoring applications motivate the analysis of TerraSAR-X data for traffic monitoring applications. In order to sidestep the limitations of the TerraSAR-X sensor, this paper examines a new approach to improve detection using a priori information. Using Monte-Carlo Simulation the possibility of improving detection with ATI is demonstrated.
متن کامل