Very High Resolution Spaceborne SAR Tomography in Urban Environment
By Xiaoxiang Zhu, Richard Bamler. IEEE Transactions on Geoscience and Remote Sensing, 2010
477 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Biomedical Engineering
View Paper: https://www.semanticscholar.org/paper/d13aa46e8069f67d48cf773bf70d241ead6ee7e6
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Citations in the corpus
- Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR (2012, methodology): “8 shows the detection rate PD as a function of normalized distance α at different SNR levels using SL1MMER, NLS, and linear reconstruction, followed by the detection of the maxima (MD) [3].”
- Tomographic SAR Inversion by $L_{1}$ -Norm Regularization—The Compressive Sensing Approach (2010, background): “Index Terms—Compressive sensing (CS), differential synthetic aperture radar tomography (D-TomoSAR), TerraSAR-X, urban mapping.”
- Building up or spreading out? Typologies of urban growth across 478 cities of 1 million+ (2019, unknown): “Other SAR data, such as the German terraSAR-X and Italian COSMO-Skymed with X-band resolution up to 1 m are used to map buildings and other human-made structures (Rossi and Gernhardt 2013, Zhu and Bamler 2010).”