@inproceedings{fb0f165694c24daeacae30c8201bf7dc,
title = "Group sparsity in sar tomography - Experiments on TanDEM-X data stacks",
abstract = "With meter-resolution images delivered by modern SAR satellites like TerraSAR-X and TanDEM-X, it is now possible to map urban areas from space in very high level of detail using advanced interferometric techniques such as PSI and Tomographic SAR inversion (TomoSAR), whereas these multi-pass interferometric techniques are based on a great number of images. We are aiming at improving the estimation accuracy of TomoSAR while reducing the required number of images. In the paper, we propose a novel workflow that marries the freely available 2D building footprint GIS data and the group sparsity concept for TomoSAR inversion. Experiments on bistatic TanDEM-X data stacks demonstrate the great potential of the proposed approach.",
author = "{Xiang Zhu}, Xiao and Nan Ge and Muhammad Shahzad",
note = "Publisher Copyright: {\textcopyright} 2015 German Institute of Navigation (DGON).; 16th International Radar Symposium, IRS 2015 ; Conference date: 24-06-2015 Through 26-06-2015",
year = "2015",
month = aug,
day = "26",
doi = "10.1109/IRS.2015.7226354",
language = "English",
series = "Proceedings International Radar Symposium",
publisher = "IEEE Computer Society",
pages = "386--391",
editor = "Hermann Rohling and Hermann Rohling and Hermann Rohling",
booktitle = "International Radar Symposium, IRS 2015 - Proceedings",
}