Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158245
Title: Study and comparison of major decomposition algorithms for polarimetric radar image processing
Authors: Goh, Jerome Siak Boon
Keywords: Engineering::Electrical and electronic engineering::Antennas, wave guides, microwaves, radar, radio
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Goh, J. S. B. (2022). Study and comparison of major decomposition algorithms for polarimetric radar image processing. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158245
Project: A3140-211
Abstract: Synthetic-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.
URI: https://hdl.handle.net/10356/158245
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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