Performance of 3-D Surface Deformation Estimation for Simultaneous Squinted SAR Acquisitions
Performance of 3-D Surface Deformation Estimation for Simultaneous Squinted SAR Acquisitions
Description
The routines provided at the link below compute the performance of 3-D surface deformation for simultaneous squinted acquisitions using the Hybrid Cramér-Rao Bound (HCRB). The IDL code implements the HCRB as presented in the following paper:
P. Prats-Iraola, P. Lopez-Dekker, F. De Zan, Yague-Martinez, M. Zonno, M. Rodriguez-Cassola, "Performance of 3-D Surface Deformation Estimation for Simultaneous Squinted SAR Acquisitions," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 4, April 2018.
In particular, the example provided in the code computes the plots presented in the figures below. The other plots can be easily obtained using the provided functions.
Please note that the software requires in addition the autocorrelation function assumed for the atmospheric boundary layer (ABL). The one used for the performance computation of the paper is provided in the ZIP file in the IDL SAV format.
L-band monostatic
3-D accuracy of the deformation performance as a function of squint angle for the L-band monostatic case, example of a plot created with the software.
3-D accuracy of the deformation performance as a function of squint angle for the C-band bistatic case without ionosphere, example of a plot created with the software.
This ZIP file includes the source code file “multisquintSurfaceDeformationPerformance.pro” and the autocorrelation function of the ABL in SAV format “ABLautoCorrelation.sav”.
Usage
In order to execute the code perform the following steps:
Extract the two files inside the ZIP file in the same directory and start an IDL session, ensuring the working directory corresponds to the one where the files are located.
Compile twice the provided PRO file. If using the IDL console this is accomplished by executing the command “.r <filename>”, i.e.,
During the execution, some configuration parameters are printed on the console and four plots are generated. The generated plots are shown below. The lines correspond to the performance for (solid) E-W, (dotted) N-S and (dashed) Vertical.
License - BSD
The provided software uses the following BSD Open Source License:
Copyright (c) 2017, DLR-HR. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Contact
In case of doubts concerning the execution of the software one may write to Pau Prats (see below).
Reference
Prats-Iraola, P., Lopez-Dekker, P., De Zan, F., Yagüe-Martínez, N., Zonno, M., & Rodriguez-Cassola, M. (2017). Performance of 3-D surface deformation estimation for simultaneous squinted SAR acquisitions. IEEE Transactions on Geoscience and Remote Sensing, 56(4), 2147-2158.
