“…with CoReH2O [8]. The ESA Sentinel-1 satellites [17] and the Radarsat Constellation Mission [3] (in isolation or in combination) should offer sufficiently frequent revisit times that some temporal resolution could conceivably be traded for improved image properties in higher level composite backscatter products. Optimising the trade-off between improved spatial resolution and image homogeneity vs. slightly blurred temporal focus will be the subject of future research.…”
A method is presented for generating composite SAR imagery from a set of multiple radiometrically terrain-corrected (RTC) backscatter images and their co-registered local illuminated areas. The process is implemented in map geometry: the resolution of each image is estimated locally as the inverse of the local contributing area and used to weight the contributions from all available observations. Some potential contributors could be out-of-swath or occluded by radar shadow. The resulting composite backscatter image can trade off temporal resolution for improved local spatial resolution while simultaneously increasing the local number of looks. The composite image is characterized by more homogenous properties (resolution, noise) in comparison to single acquisitions. The technique is demonstrated using ScanSAR data from ENVISAT ASAR and Radarsat-2.
SAR BACKSCATTER MULTITEMPORAL COMPOSITING VIA LOCAL RESOLUTION WEIGHTING
David SmallRemote Sensing Laboratories, Dept. of Geography, University of Zurich Winterthurerstrasse 190, CH-8057 Zurich, Switzerland; E-mail: david.small@geo.uzh.ch ABSTRACT A method is presented for generating composite SAR imagery from a set of multiple radiometrically terraincorrected (RTC) backscatter images and their co-registered local illuminated areas. The process is implemented in map geometry: the resolution of each image is estimated locally as the inverse of the local contributing area and used to weight the contributions from all available observations. Some potential contributors could be out-of-swath or occluded by radar shadow.The resulting composite backscatter image can trade off temporal resolution for improved local spatial resolution while simultaneously increasing the local number of looks. The composite image is characterized by more homogenous properties (resolution, noise) in comparison to single acquisitions. The technique is demonstrated using ScanSAR data from ENVISAT ASAR and Radarsat-2.
“…with CoReH2O [8]. The ESA Sentinel-1 satellites [17] and the Radarsat Constellation Mission [3] (in isolation or in combination) should offer sufficiently frequent revisit times that some temporal resolution could conceivably be traded for improved image properties in higher level composite backscatter products. Optimising the trade-off between improved spatial resolution and image homogeneity vs. slightly blurred temporal focus will be the subject of future research.…”
A method is presented for generating composite SAR imagery from a set of multiple radiometrically terrain-corrected (RTC) backscatter images and their co-registered local illuminated areas. The process is implemented in map geometry: the resolution of each image is estimated locally as the inverse of the local contributing area and used to weight the contributions from all available observations. Some potential contributors could be out-of-swath or occluded by radar shadow. The resulting composite backscatter image can trade off temporal resolution for improved local spatial resolution while simultaneously increasing the local number of looks. The composite image is characterized by more homogenous properties (resolution, noise) in comparison to single acquisitions. The technique is demonstrated using ScanSAR data from ENVISAT ASAR and Radarsat-2.
SAR BACKSCATTER MULTITEMPORAL COMPOSITING VIA LOCAL RESOLUTION WEIGHTING
David SmallRemote Sensing Laboratories, Dept. of Geography, University of Zurich Winterthurerstrasse 190, CH-8057 Zurich, Switzerland; E-mail: david.small@geo.uzh.ch ABSTRACT A method is presented for generating composite SAR imagery from a set of multiple radiometrically terraincorrected (RTC) backscatter images and their co-registered local illuminated areas. The process is implemented in map geometry: the resolution of each image is estimated locally as the inverse of the local contributing area and used to weight the contributions from all available observations. Some potential contributors could be out-of-swath or occluded by radar shadow.The resulting composite backscatter image can trade off temporal resolution for improved local spatial resolution while simultaneously increasing the local number of looks. The composite image is characterized by more homogenous properties (resolution, noise) in comparison to single acquisitions. The technique is demonstrated using ScanSAR data from ENVISAT ASAR and Radarsat-2.
“…As the name suggests, RCM is actually a constellation of three identical satellites, which will succeed RADARSAT-2 after their launch in 2018. The parameters listed in Tables 4.3-4.4 were obtained from [42,43], however, since this system is still under development, it is difficult to obtain all the parameters necessary for the simulations and analysis. The parameters that have been assumed have been indicated in their respective tables.…”
This thesis develops the Cramér-Rao Lower Bound (CRLB) for multi-channel spaceborne synthetic aperture radar (SAR) system and provides surface moving target indication (SMTI) performance analysis. CRLB provides a lower bound on the achievable variance of any unbiased estimator. An estimator that achieves this bound is called efficient, however, there is no guarantee that an efficient estimator can be found. Nonetheless, the theoretical variance of the efficient estimator provides a good estimate of the capability of the system and serves as a valuable system performance validation tool. Even if an efficient estimator cannot be found, for radar systems the CRLB provides a necessary, but not sufficient design baseline for measurement parameters such as the number of sub-apertures for transmit and receive, power levels, pulse-repetition frequency (PRF), etc. A multi-channel moving target signal model is derived in satellite earth-fixed earthcentered coordinate system. This model is used in space-time adaptive processing (STAP) approaches for SMTI. A statistical model of the received signal is formed using the derived deterministic target signal, and Gaussian distributions for noise and clutter. CRLB for the statistical model and target parameters is derived by solving the derivatives. The non-trivial derivatives are also verified using a numerical method. CRLB is then used to analyse the SMTI performance of RADARSAT-2, RADARSAT constellation mission (RCM) satellite, and a proposed satellite called "TestSAT", under a variety of switching/toggling modes. The results confirm the SMTI capability of RADARSAT-2 demonstrated previously [1,2], and the optimal switching/toggling mode [3-5]. The simulations for RCM demonstrate that its SMTI capability will be far inferior to RADARSAT-2. However, by slightly changing the parameters of RCM, as was done for TestSAT, it was shown that an SMTI performance that is comparable to that of RADARSAT-2 can be theoretically achieved with a smaller aperture size and lower transmitted power. The main contributions of this thesis include the derivation of the CRLB for multichannel space-borne SAR, and theoretical SMTI performance analysis using CRLB. The goal of the analysis was twofold: i) to find the SMTI performance limits of realistic systems over different switching/toggling configurations, and ii) to use CRLB as a benchmark tool to determine if it is possible to have a system that consumes less power than an existing system and provides a comparable or better SMTI performance. The theoretical results demonstrate the usefulness of CRLB as a tool in the theoretical performance evaluation of different systems and switching/toggling schemes for SMTI. First and foremost, I would like to thank my parents for their love and support throughout my life. Thank you both for giving me the strength to pursue my intellectual interests. Special thanks to my elder brother for teaching me how to struggle and persevere against overwhelming odds. I would like to thank Radar Systems section at Defence Res...
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