@Article{GuardaSBCHTAS:2020:SeDiIm,
author = "Guarda, Simone Dutra Martins and Sano, Edson Eyji and Bias,
Edilson Souza and Castejon, Emiliano Ferreira and Happ, Patrick
Nigri and Teixeira, Alexandre de Amorim and Antunes, Rodrigo
Rodrigues and Sousa, Rog{\'e}rio Baptista de",
affiliation = "{Universidade de Bras{\'{\i}}lia (UnB)} and {Empresa Brasileira
de Pesquisa Agropecu{\'a}ria (EMBRAPA)} and {Universidade de
Bras{\'{\i}}lia (UnB)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Pontif{\'{\i}}cia Universidade
Cat{\'o}lica do Rio de Janeiro (PUC-Rio)} and {Universidade de
Bras{\'{\i}}lia (UnB)} and {Universidade de Bras{\'{\i}}lia
(UnB)} and {Universidade de Bras{\'{\i}}lia (UnB)}",
title = "Segmenta{\c{c}}{\~a}o distribu{\'{\i}}da de imagem de
sensoriamento remoto a partir de banco de dados
postgresql/interimage",
journal = "Anu{\'a}rio do Instituto de Geoci{\^e}ncias",
year = "2020",
volume = "43",
number = "2",
pages = "426--436",
keywords = "Segmenta{\c{c}}{\~a}o. InterIMAGE. PostGIS, Segmentation.
InterIMAGE. PostGIS.",
abstract = "A abordagem de classifica{\c{c}}{\~a}o baseada em objetos
representa um novo paradigma no processamento de imagens de altas
resolu{\c{c}}{\~o}es espaciais, espectrais e temporais, e a
constru{\c{c}}{\~a}o de objetos baseia-se na
segmenta{\c{c}}{\~a}o das imagens. A an{\'a}lise de imagens
baseada em objetos (GEOBIA - Geographic Object-Based Image
Analysis) apresenta m{\'e}todos capazes de explorar, al{\'e}m de
atributos espectrais, elementos como textura, forma ou contexto.
Existem aplica{\c{c}}{\~o}es que buscam melhorar o desempenho
computacional com solu{\c{c}}{\~o}es sequenciais e
distribu{\'{\i}}das, ou programas como TerraView que abordam o
uso de sistemas gerenciadores de banco de dados. Este trabalho
prop{\~o}e explorar especifica{\c{c}}{\~o}es de
aplica{\c{c}}{\~o}es para integrar o Sistema Gerenciador de
Banco de Dados (SGBD) PostgreSQL/PostGIS e o classificador
Object-Based Image Analysis (OBIA) do InterIMAGE Desktop para
processamento de grandes imagens orbitais. O m{\'e}todo
apresentado {\'e} expans{\'{\i}}vel no uso da biblioteca
TerraLib 5, com linguagem de programa{\c{c}}{\~a}o C++. Os
experimentos realizados com as representa{\c{c}}{\~o}es
matriciais (raster) indicaram a viabilidade das
aplica{\c{c}}{\~o}es e podem se consolidar sob a forma de
processos de armazenamento e processamento da
segmenta{\c{c}}{\~a}o no SGBD. ABSTRACT: The object-oriented
classification approach represents a new paradigm in the image
processing of high spatial, spectral, and temporal resolutions,
and the construction of objects is based on the image
segmentation. The object-based image analysis (GEOBIA - Geographic
Object-Based ImageAnalysis) presents methods capable of exploring,
in addition to spectral attributes, elements such as texture,
shape, or context. The solutions aim better computational
performance in applications with sequential and distributed
solutions, but few address the use of database management systems.
This work proposes to explore application specifications to
integrate the PostgreSQL / PostGIS Database Management System
(DBMS) and the InterIMAGE Desktop Object-Based ImageAnalysis OBIA
classifier for processing large orbital images. The presented
method is expandable in the use of the TerraLib 5 library, with C
++ programming language. The experiments performed with the raster
representations indicated the feasibility of the applications and
can be consolidated in the form of storage processes and
segmentation processing in the DBMS.",
doi = "10.11137/2020_2_426_436",
url = "http://dx.doi.org/10.11137/2020_2_426_436",
issn = "0101-9759",
language = "pt",
targetfile = "guarda2020.pdf",
urlaccessdate = "17 abr. 2024"
}