Paper Info
Title
A novel method to estimate underwater marine cultivation area by using SAR polarimetric entropy
Abstract
This paper describes a technique of extracting underwater laver cultivation nets by using entropy analysis from ALOS-PALSAR polarimetric data in the Tokyo bay. Due to smooth sea surface over the shallow underwater nets, the radar backscatter cross section (RCS) is small (almost noise level) compared with the surface without the nets. This difference can be detected by the X-band TerraSAR-X, but for PALSAR, the difference is too small to detect since both the surfaces are effectively smooth for L-band microwave. We show that polarimetric entropy is an effective means of identifying the underwater nets from the L-band PALSAR data in comparison with the amplitude image.
Year
DOI
Venue
2011
10.1109/IGARSS.2011.6049578
IGARSS
Keywords
Field
DocType
x-band terrasar-x,synthetic aperture radar,radar backscatter cross section,polarimetric entropy,underwater laver cultivation nets,sar polarimetric entropy,underwater marine cultivation area,effective surface roughness,remote sensing by radar,image classification,geophysical image processing,alos-palsar,smooth sea surface,alos-palsar polarimetric data,cfar,entropy,tokyo bay,underwater marine cultivation,radar polarimetry,backscatter,cross section,l band,rough surfaces,surface roughness,scattering,surface waves,surface wave
L band,Polarimetry,Computer science,Synthetic aperture radar,Remote sensing,Backscatter,Constant false alarm rate,Contextual image classification,Surface roughness,Underwater
Conference
ISSN
ISBN
Citations 
2153-6996
978-1-4577-1003-2
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Eun-Sung Won110.74
Kazuo Ouchi211215.71