dc.contributor.author | Doulgeris, Anthony Paul | |
dc.date.accessioned | 2014-06-30T08:57:32Z | |
dc.date.available | 2014-06-30T08:57:32Z | |
dc.date.issued | 2013 | |
dc.description.abstract | This work presents a simple feature-based multi-channel
SAR segmentation method that produces good, smooth,
fast and robust results for image segmentation and interpretation.
A basic set of six features produce good class
distinction for general applications, and the method is
easily extendable with new features and for multi-source
data fusion. Optional steps of sub-sampling and Markov
Random Field based contextual smoothing are presented.
The different stages of the basic approach are demonstrated
with real data examples from several sensors and
for several applications and is fast enough for operational
use. | en |
dc.identifier.citation | POLinSAR in Frascati (2013 ) | en |
dc.identifier.cristinID | FRIDAID 1029823 | |
dc.identifier.uri | https://hdl.handle.net/10037/6441 | |
dc.identifier.urn | URN:NBN:no-uit_munin_5923 | |
dc.language.iso | eng | en |
dc.rights.accessRights | openAccess | |
dc.subject | Polarimetric | en |
dc.subject | Synthetic Aperture Radar | en |
dc.subject | Product Model | en |
dc.subject | Segmentation | en |
dc.subject | Contextual Smoothing | en |
dc.subject | VDP::Matematikk og Naturvitenskap: 400 | en |
dc.subject | VDP::Mathematics and natural science: 400 | en |
dc.title | A Simple and Extendable Segmentation Method for Multi-Polarisation SAR Images | en |
dc.type | Conference object | en |
dc.type | Konferansebidrag | en |