Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Ship detection in SAR images based on Maxtree representation and graph signal processing

Autor
Salembier, P.; Liesegang, S.; Lopez, C.
Tipus d'activitat
Article en revista
Revista
IEEE transactions on geoscience and remote sensing
Data de publicació
2018-01-01
DOI
https://doi.org/10.1109/TGRS.2018.2876603 Obrir en finestra nova
Projecte finançador
Procesado de información heterogénea y señales en grafos para Big Data:aplicación en cribado de alto rendimiento,teledetección,multimedia y HCI
Procesado de señales multimodales y aprendizaje automático en grafos.
Repositori
http://hdl.handle.net/2117/125211 Obrir en finestra nova
URL
https://ieeexplore.ieee.org/document/8529215 Obrir en finestra nova
Resum
This paper discusses an image processing architecture and tools to address the problem of ship detection in synthetic-aperture radar images. The detection strategy relies on a tree-based representation of images, here a Maxtree, and graph signal processing tools. Radiometric as well as geometric attributes are evaluated and associated with the Maxtree nodes. They form graph attribute signals which are processed with graph filters. The goal of this filtering step is to exploit the correlation exi...
Citació
Salembier, P., Liesegang, S., Lopez, C. Ship detection in SAR images based on Maxtree representation and graph signal processing. "IEEE transactions on geoscience and remote sensing", 1 Gener 2018.
Paraules clau
Branch filter, Graph filter, Graph signal processing, Machine learning, Maxtree, Ship detection, Support vector machine (SVM), Synthetic-aperture radar (SAR), Tree filter
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
RSLAB - Grup de Recerca en Teledetecció
SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions

Arxius