Paper Info
Title
A First Validation Experiment for a Multi-Chromatic Analysis (MCA) of SAR Data Starting from SLC Images
Abstract
The Multi-Chromatic Analysis uses interferometric pairs of SAR Images processed at range. sub-bands and explores the phase trend of each pixel as a function of the different central carrier frequencies to perform absolute topographic measurements The previous work on the subject has started demonstrating the practical feasibility of the technique by using a set of SAR data collected by the airborne AES-1 radar-interferometer and by focusing the sensor raw data The present work verifies the reliability of MCA procedures starting from SLC images, tests the robustness of MCA methods with respect to the total processed bandwidth and, provides first indications on the use of TerraSAR-X satellite data.
Year
DOI
Venue
2009
10.1109/IGARSS.2009.5417470
IGARSS
Keywords
Field
DocType
airborne radar,geophysical signal processing,image processing,radar signal processing,remote sensing by radar,synthetic aperture radar,topography (Earth),SAR data MCA,SAR data multichromatic analysis,SLC images,TerraSAR-X satellite data,absolute topographic measurements,airborne AES-1 radar interferometer,central carrier frequency,interferometric SAR image pairs,pixel phase trend,sensor raw data focusing,single look complex image,SAR interferometry,wide band SAR
Computer vision,Chromatic scale,Topographic map,Computer science,Synthetic aperture radar,Remote sensing,Image processing,Robustness (computer science),Interferometry,Bandwidth (signal processing),Pixel,Artificial intelligence
Conference
Volume
ISSN
Citations 
4
2153-6996
3
PageRank 
References 
Authors
0.57
3
5
Name
Order
Citations
PageRank
Fabio Bovenga17019.41
Vito Martino Giacovazzo281.37
Alberto Refice34612.80
Nicola Veneziani4316.49
Raffaele Vitulli5214.88