@inproceedings{4388ecea545a4fa6ba791ec7f1de7154,
title = "INSAR permanent scatterers selection using SAR SVA filtering",
abstract = "Permanent scatterers (PS) approach allows the identification of radar targets not affected by decorrelation noise then suitable for reliable SAR interferometric measurements. This paper introduces a new technique allowing the selection of stable scatterers based on adaptative SVA (Spatially Variant Apodization) filtering. Indeed, SVA filters identify SAR pixels with strong reflectivity (maximum of the mainlobe) over a long temporal series of interferometric SAR images which is the main feature of Permanent Scatterers pixels. A comparison between PS candidates pixels and selected SVA pixels is discussed in this study.",
keywords = "Adaptative SVA filtering, Etc., Permanent scatterers, SAR interferometry",
author = "F. Chaabane and M. Sellami and Nicolas, \{J. M.\} and F. Tupin",
year = "2009",
month = jan,
day = "1",
doi = "10.1109/IGARSS.2009.5417746",
language = "English",
isbn = "9781424433957",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "V13--V16",
booktitle = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 - Proceedings",
note = "2009 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009 ; Conference date: 12-07-2009 Through 17-07-2009",
}