@InProceedings{UbaDutrSoarCost:2015:ImHiSe,
author = "Uba, Douglas Messias and Dutra, Luciano Vieira and Soares,
Marinalva Dias and Costa, Gilson Alexandre Ostwald Pedro da",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Implementation of a hierarchical segmentation algorithm for radar
and optical data using TerraLib",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4041--4048",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This paper describes briefly the underlying algorithm and some of
the key implementation aspects of a hierarchical segmentation
program called MultiSeg. Built on a previous development called
SegSAR, MultiSeg consists on a specialized segmentation technique
for SAR 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 an 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 shows a few examples of
segmentation results obtained with MultiSeg, which help to
understand the influence of the programs parameters on the
segmentation results. Systematic tests with MultiSeg are still
under way, aiming at demining the limitations of the program in
terms of the data volume, and proper parameter settings for
different image types and target object classes. Preliminary
results are, however, very promising.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "799",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4CC8",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4CC8",
targetfile = "p0799.pdf",
type = "Processamento de imagens",
urlaccessdate = "28 abr. 2024"
}