@inproceedings{a01f86c8707b4266985771257cbebf80,
title = "On the spatial-temporal resolution of synthetic aperture radar: Uncertainty principle?",
abstract = "Synthetic aperture radar (SAR) systems have been successful in applications of monitoring stationary terrain as well as detecting long-term changes. Recently, new technologies in SAR such as GEO SAR, Circular SAR and SS-BiSAR allow observing an area continuously and provide potential to detect sudden changes. The generalized ambiguity function is extended to analyze the spatial-temporal resolution for change detection. The lower bound of temporal resolution is derived and utilized to establish an uncertainty principle analogous to the uncertainty principle in signal analysis. The influence of the type and extent of changes in two typical cases is studied. The results show that the product of spatial and temporal resolution is bounded no matter how the synthetic aperture time is configured. The theoretic results are verified by simulation.",
keywords = "Circular SAR, GEO SAR, Synthetic Aperture Radar, change detection, lower bound, spatial-temporal resolution, uncertainty principle, uncertainty product",
author = "Tao Zeng and Xinliang Chen and Jingyang Wang and Kai Zhang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Radar Conference, Radar 2014 ; Conference date: 13-10-2014 Through 17-10-2014",
year = "2014",
month = mar,
day = "12",
doi = "10.1109/RADAR.2014.7060376",
language = "English",
series = "2014 International Radar Conference, Radar 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 International Radar Conference, Radar 2014",
address = "United States",
}