DocumentCode
124614
Title
High-voltage transmission towers detection using hybrid polarimetric SAR data
Author
Lei Xie ; Hong Zhang ; Chao Wang ; Bo Zhang ; Fan Wu
Author_Institution
Key Lab. of Digital Earth Sci., Inst. of Remote sensing & Digital Earth, Beijing, China
fYear
2014
fDate
11-14 June 2014
Firstpage
353
Lastpage
356
Abstract
In the past decade, the compact/hybrid polarimetric SAR systems have been proposed and investigated, their potentials in remote sensing applications have been gradually accepted. The main object of this paper is to investigate the capability of hybrid polarimetric SAR data to detect objects with vertical structure, and in this paper, the high-voltage transmission towers detection is taken as an example. Two important parameters defined in hybrid mode, namely the linear polarization ratio (μL) and the degree of linear polarization PL, are analyzed. μL is found to behave similarly to the HH/VV ratio, which has been widely used in detecting objects with vertical structure, such as rice and wheat. PL is also found to be useful in high-voltage transmission towers detection in our experiments. The AirSAR data acquired over Flevoland are used in our experiments and the experimental results demonstrate the effectiveness of μL and PL.
Keywords
geophysical techniques; remote sensing by radar; synthetic aperture radar; transmission lines; AirSAR data; Flevoland; HH-VV ratio; compact polarimetric SAR system; high-voltage transmission towers detection; hybrid polarimetric SAR data; hybrid polarimetric SAR system; linear polarization degree; linear polarization ratio; remote sensing applications; Earth; Object detection; Polarization; Poles and towers; Remote sensing; Synthetic aperture radar; Vectors; Hybrid polarization; high-voltage transmission towers detection; synthetic aperture radar (SAR); the degree of linear polarization; the linear polarization ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
Conference_Location
Changsha
Print_ISBN
978-1-4799-5757-6
Type
conf
DOI
10.1109/EORSA.2014.6927911
Filename
6927911
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