Underlying topography and forest height estimation from SAR tomography based on a nonparametric spectrum estimation method with low sidelobes

References

• Aghababaee, H., G. Ferraioli, L. Ferro-Famil, Y. Huang, M. M. d'Alessandro, V. Pascazio, G. Schirinzi, and S. Tebaldini. 2020. “Forest SAR Tomography: Principles and Applications.” IEEE Geoscience and Remote Sensing Magazine 8 (2): 30–45. doi:10.1109/MGRS.2019.2963093.
   Web of Science ®Google Scholar
• Budillon, A., A. Evangelista, and G. Schirinzi. 2009. “SAR Tomography from Sparse Samples.” 2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa.
   Google Scholar
• Cazcarra-Bes, V., M. Pardini, and K. Papathanassiou. 2020. “Definition of Tomographic SAR Configurations for Forest Structure Applications at L-Band.” IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2020.3027439.
   PubMed Web of Science ®Google Scholar
• Cazcarra-Bes, V., M. Pardini, M. Tello, and K. P. Papathanassiou. 2019. “Comparison of Tomographic SAR Reflectivity Reconstruction Algorithms for Forest Applications at L-Band.” IEEE Transactions on Geoscience and Remote Sensing 58 (1): 147–164. doi:10.1109/TGRS.2019.2934347.
   Web of Science ®Google Scholar
• d'Alessandro, M. M., and S. Tebaldini. 2012. “Phenomenology of P-Band Scattering from a Tropical Forest Through Three-Dimensional SAR Tomography.” IEEE Geoscience and Remote Sensing Letters 9 (3): 442–446. doi:10.1109/LGRS.2011.2170658.
   Web of Science ®Google Scholar
• del Campo, G. M., M. Nannini, and A. Reigber. 2020. “Statistical Regularization for Enhanced TomoSAR Imaging.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13: 1567–1589. doi:10.1109/JSTARS.2020.2970595.
   Web of Science ®Google Scholar
• European Space Agency. 2016. “AfriSAR 2016: Technical Assistance for the Development of Airborne SAR and Geophysical Measurements During the AfriSAR Experiment - Final Report.” https://earth.esa.int/eogateway/campaigns/afrisar-2016?text = afrisar.
   Google Scholar
• Fatoyinbo, T., J. Armston, M. Simard, S. Saatchi, M. Denbina, M. Lavalle, M. Hofton, H. Tang, S. Marselis, and N. Pinto. 2021. “The NASA AfriSAR Campaign: Airborne SAR and Lidar Measurements of Tropical Forest Structure and Biomass in Support of Current and Future Space Missions.” Remote Sensing of Environment 264: 112533. doi:10.1016/j.rse.2021.112533.
   Web of Science ®Google Scholar
• Ferro-Famil, L., Y. Huang, and A. Reigber. 2012. “High-resolution SAR Tomography Using Full Rank Polarimetric Spectral Estimators.” IEEE International Geoscience and Remote Sensing Symposium, 5194–5197. doi:10.1109/IGARSS.2012.6352439.
   Web of Science ®Google Scholar
• Hajnsek, I., M. Pardini, R. Horn, R. Scheiber, K. Papathanassiou, P. D. Fernandez, R. Baque, X. Dupuis, and T. Casal. 2016. “Sar Imaging of Tropical African Forests with P-Band Multibaseline Acquisitions: Results from the Afrisar Campaign.” 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China.
   Google Scholar
• Homer, J., I. Longstaff, and G. Callaghan. 1996. “High Resolution 3-D SAR via Multi-Baseline Interferometry.” 1996 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Lincoln, NE, USA.
   Google Scholar
• Ho Tong Minh, D., T. Le Toan, F. Rocca, S. Tebaldini, L. Villard, M. Réjou-Méchain, O. L. Phillips, T. R. Feldpausch, P. Dubois-Fernandez, and K. Scipal. 2016. “SAR Tomography for the Retrieval of Forest Biomass and Height: Cross-Validation at Two Tropical Forest Sites in French Guiana.” Remote Sensing of Environment 175: 138–147. doi:10.1016/j.rse.2015.12.037.
   Web of Science ®Google Scholar
• Huang, Y., L. Ferro-Famil, and C. Lardeux. 2011. “Polarimetric SAR Tomography of Tropical Forests at P-Band.” 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, British Columbia, Canada.
   Google Scholar
• Huang, Y., L. Ferro-Famil, and A. Reigber. 2011. “Under-foliage Object Imaging Using SAR Tomography and Polarimetric Spectral Estimators.” IEEE Transactions on Geoscience and Remote Sensing 50 (6): 2213–2225. doi:10.1109/TGRS.2011.2171494.
   Web of Science ®Google Scholar
• Huang, Y., J. Levy-Vehel, L. Ferro-Famil, and A. Reigber. 2017. “Three-dimensional Imaging of Objects Concealed Below a Forest Canopy Using SAR Tomography at L-Band and Wavelet-Based Sparse Estimation.” IEEE Geoscience and Remote Sensing Letters 14 (9): 1454–1458. doi:10.1109/LGRS.2017.2709839.
   Web of Science ®Google Scholar
• Huang, Y., Q. Zhang, and L. Ferro-Famil. 2021. “Forest Height Estimation Using a Single-Pass Airborne L-Band Polarimetric and Interferometric SAR System and Tomographic Techniques.” Remote Sensing 13 (3): 487. doi:10.3390/rs13030487.
   Web of Science ®Google Scholar
• Li, X., L. Liang, H. Guo, and Y. Huang. 2016. “Compressive Sensing for Multibaseline Polarimetric SAR Tomography of Forested Areas.” IEEE Transactions on Geoscience and Remote Sensing 54 (1): 153–166. doi:10.1109/TGRS.2015.2451992.
   Web of Science ®Google Scholar
• Li, Z., P. Zhang, H. Qiao, C. Zhao, J. Zhou, and L. Huang. 2021. “Advances in Information Extraction of Surface Parameters Using Tomographic SAR.” Journal of Radars 10 (1): 116–130. doi:10.12000/JR20095.
   Google Scholar
• Liu, Y., J. Zhao, Q. Zhu, and Y. Wang. 2021. “An Improved Method for Parametric Spatial Spectrum Estimation in Internet of Things.” Wireless Communications and Mobile Computing 2021. doi:10.1155/2021/9976751.
   PubMed Web of Science ®Google Scholar
• Lombardini, F., and A. Reigber. 2003. “Adaptive Spectral Estimation for Multibaseline SAR Tomography with Airborne L-Band Data.” 2003 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Toulouse, France.
   Google Scholar
• Lu, H., H. Zhang, H. Fan, D. Liu, J. Wang, X. Wan, L. Zhao, Y. Deng, F. Zhao, and R. Wang. 2021. “Forest Height Retrieval Using P-Band Airborne Multi-Baseline SAR Data: A Novel Phase Compensation Method.” ISPRS Journal of Photogrammetry and Remote Sensing 175: 99–118. doi:10.1016/j.isprsjprs.2021.02.022.
   Web of Science ®Google Scholar
• Mestre, X. 2008. “Improved Estimation of Eigenvalues and Eigenvectors of Covariance Matrices Using Their Sample Estimates.” IEEE Transactions on Information Theory 54 (11): 5113–5129. doi:10.1109/TIT.2008.929938.
   Web of Science ®Google Scholar
• Mestre, X., F. Rubio, and P. Vallet. 2012. “Improved Estimation of the Logarithm of the Covariance Matrix.” 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM), Hoboken, NJ, USA.
   Google Scholar
• Mukherjee, S., P. K. Joshi, S. Mukherjee, A. Ghosh, R. Garg, and A. Mukhopadhyay. 2013. “Evaluation of Vertical Accuracy of Open Source Digital Elevation Model (DEM).” International Journal of Applied Earth Observation and Geoinformation 21: 205–217. doi:10.1016/j.jag.2012.09.004.
   Web of Science ®Google Scholar
• Nannini, M., R. Scheiber, and A. Moreira. 2009. “Estimation of the Minimum Number of Tracks for SAR Tomography.” IEEE Transactions on Geoscience and Remote Sensing 47 (2): 531–543. doi:10.1109/TGRS.2008.2007846.
   Web of Science ®Google Scholar
• Pardini, M., V. Cazcarra-Bes, and K. P. Papathanassiou. 2021. “TomoSAR Mapping of 3D Forest Structure: Contributions of L-Band Configurations.” Remote Sensing 13 (12): 2255. doi:10.3390/rs13122255.
   Web of Science ®Google Scholar
• Peng, X., X. Li, C. Wang, H. Fu, and Y. Du. 2018. “A Maximum Likelihood Based Nonparametric Iterative Adaptive Method of Synthetic Aperture Radar Tomography and its Application for Estimating Underlying Topography and Forest Height.” Sensors 18 (8): 2459. doi:10.3390/s18082459.
   PubMed Web of Science ®Google Scholar
• Peng, X., Y. Wang, S. Long, X. Pan, Q. Xie, Y. Du, H. Fu, J. Zhu, and X. Li. 2021. “Underlying Topography Inversion Using TomoSAR Based on Non-Local Means for an L-Band Airborne Dataset.” Remote Sensing 13 (15): 2926. doi:10.3390/rs13152926.
   Web of Science ®Google Scholar
• Reigber, A., and A. Moreira. 2000. “First Demonstration of Airborne SAR Tomography Using Multibaseline L-Band Data.” IEEE Transactions on Geoscience and Remote Sensing 38 (5): 2142–2152. doi:10.1109/36.868873.
   Web of Science ®Google Scholar
• Stoica, P., P. Babu, and J. Li. 2010. “SPICE: A Sparse Covariance-Based Estimation Method for Array Processing.” IEEE Transactions on Signal Processing 59 (2): 629–638. doi:10.1109/TSP.2010.2090525.
   Web of Science ®Google Scholar
• Stoica, P., J. Li, and X. Tan. 2008. “On Spatial Power Spectrum and Signal Estimation Using the Pisarenko Framework.” IEEE Transactions on Signal Processing 56 (10): 5109–5119. doi:10.1109/TSP.2008.928935.
   Web of Science ®Google Scholar
• Tebaldini, S. 2009. “Algebraic Synthesis of Forest Scenarios from Multibaseline PolInSAR Data.” IEEE Transactions on Geoscience and Remote Sensing 47 (12): 4132–4142. doi:10.1109/TGRS.2009.2023785.
   Web of Science ®Google Scholar
• Tebaldini, S., D. H. T. Minh, M. M. d’Alessandro, L. Villard, T. Le Toan, and J. Chave. 2019. “The Status of Technologies to Measure Forest Biomass and Structural Properties: State of the Art in SAR Tomography of Tropical Forests.” Surveys in Geophysics 40 (4): 779–801. doi:10.1007/s10712-019-09539-7.
   Web of Science ®Google Scholar
• Tebaldini, S., and F. Rocca. 2011. “Multibaseline Polarimetric SAR Tomography of a Boreal Forest at P-and L-Bands.” IEEE Transactions on Geoscience and Remote Sensing 50 (1): 232–246. doi:10.1109/TGRS.2011.2159614.
   Web of Science ®Google Scholar
• Wasik, V., P. C. Dubois-Fernandez, C. Taillandier, and S. S. Saatchi. 2018. “The AfriSAR Campaign: Tomographic Analysis with Phase-Screen Correction for P-Band Acquisitions.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 (10): 3492–3504. doi:10.1109/JSTARS.2018.2831441.
   Web of Science ®Google Scholar
• Yang, X., S. Tebaldini, M. M. d’Alessandro, and M. Liao. 2019. “Tropical Forest Height Retrieval Based on P-Band Multibaseline SAR Data.” IEEE Geoscience and Remote Sensing Letters 17 (3): 451–455. doi:10.1109/LGRS.2019.2923252.
   Web of Science ®Google Scholar
• Yardibi, T., J. Li, P. Stoica, M. Xue, and A. B. Baggeroer. 2010. “Source Localization and Sensing: A Nonparametric Iterative Adaptive Approach Based on Weighted Least Squares.” IEEE Transactions on Aerospace and Electronic Systems 46 (1): 425–443. doi:10.1109/TAES.2010.5417172.
   Web of Science ®Google Scholar
• Yu, H., and Z. Zhang. 2021. “The Performance of Relative Height Metrics for Estimation of Forest Above-Ground Biomass Using L-and X-Bands TomoSAR Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 1857–1871. doi:10.1109/JSTARS.2021.3051081.
   Web of Science ®Google Scholar