@InProceedings{CostaDuUbSoFeRo:2015:HiSeAl,
author = "Costa, Gilson and Dutra, Luciano Vieira and Uba, Douglas Messias
and Soares, Marinalva and Feitosa, Raul and Rosa, Rafael",
affiliation = "{Pontificia Universidade Cat{\'o}lica do Rio de Janeiro
(PUC-RIO)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}
and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Pontificia
Universidade Cat{\'o}lica do Rio de Janeiro (PUC-RIO)} and
BRADAR",
title = "MultiSeg: a hierarchical segmentation algorithm for radar and
optical data",
year = "2015",
organization = "International Cartographic Conference, 27.",
keywords = "remote sensing, radar, segmentation.",
abstract = "This paper describes the underlying algorithm and key
implementation aspects of a hierarchical segmentation program
called MultiSeg Built on a previous development called SegSar,
MultiSeg consists on a specialized segmentation technique devised
for SAR (Synthetic Aperture Radar) and optical imagery. Initially,
images are compressed at different rates creating an image
pyramid, then a region growing procedure is used in combination
with a split and merge technique at the different compression
levels. In sequence, the program processes the image pyramid from
the coarser to the finer compression levels, applying a border
refinement heuristic each time it changes from one level to the
next. MultiSeg was created in the C++ language, with the support
from the open-source library TerraLib. The devised software
architecture permits easy extension of its capabilities.
Additionally, preliminary tests have shown that MultiSeg is
capable of processing large volumes of data efficiently. This
paper also presents an objective evaluation of segmentation
results obtained with MultiSeg, produced through comparing the
automatic segmentation with manually delineated reference
segments.",
conference-location = "Rio de Janeiro, RJ",
conference-year = "23-28 Aug.",
urlaccessdate = "26 abr. 2024"
}