Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGoh, Jerome Siak Boonen_US
dc.identifier.citationGoh, J. S. B. (2022). Study and comparison of major decomposition algorithms for polarimetric radar image processing. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractSynthetic-aperture radar (SAR) is method widely deployed to recreate accurate high-resolution reconstructions of the earth’s surface. Polarimetric synthetic aperture radar (PolSAR) in particular, is a method that recreates images of the terrain via measurement of the polarimetric properties of scatterers. PolSAR has rapidly risen in use over the years and now serves a multitude of purposes. The ability of visualize the landscape has shown prominence in areas such as agriculture monitoring, where information such as the estimation of fauna height and soil moisture can be estimated and monitored via the use of PolSAR. PolSAR has also seen military use, where the ability to distinguish between natural and manmade constructs assist in identifying potential threats. Due to the resultant images being a reconstruction based on polarimetric data collected by the radar, a range of reconstruction methods and algorithms have cropped up over the years. Each producing different reconstructions of the exact same landform.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radioen_US
dc.titleStudy and comparison of major decomposition algorithms for polarimetric radar image processingen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLu Yilongen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
item.fulltextWith Fulltext-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
  Restricted Access
8.19 MBAdobe PDFView/Open

Page view(s)

Updated on May 16, 2024


Updated on May 16, 2024

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.