@Article{DiazFeitSancCost:2016:MeEsTe,
author = "Diaz, P. M. A. and Feitosa, Raul Q. and Sanches, Ieda Del'Arco and
Costa, G. A. O. P.",
affiliation = "{Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio de Janeiro
(PUC-RJ)} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do
Rio de Janeiro (PUC-RJ)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Universidade Estadual do Rio de Janeiro
(UERJ)}",
title = "A method to estimate temporal interaction in a conditional random
field based approach for crop recognition",
journal = "International Archives of the Photogrammetry, Remote Sensing and
Spatial Information Sciences",
year = "2016",
volume = "41",
number = "B7",
pages = "205--211",
keywords = "Conditional Random Fields, Crop Recognition, Multitemporal Image
Analysis.",
abstract = "This paper presents a method to estimate the temporal interaction
in a Conditional Random Field (CRF) based approach for crop
recognition from multitemporal remote sensing image sequences.
This approach models the phenology of different crop types as a
CRF. Interaction potentials are assumed to depend only on the
class labels of an image site at two consecutive epochs. In the
proposed method, the estimation of temporal interaction parameters
is considered as an optimization problem, whose goal is to find
the transition matrix that maximizes the CRF performance, upon a
set of labelled data. The objective functions underlying the
optimization procedure can be formulated in terms of different
accuracy metrics, such as overall and average class accuracy per
crop or phenological stages. To validate the proposed approach,
experiments were carried out upon a dataset consisting of 12
co-registered LANDSAT images of a region in southeast of Brazil.
Pattern Search was used as the optimization algorithm. The
experimental results demonstrated that the proposed method was
able to substantially outperform estimates related to joint or
conditional class transition probabilities, which rely on training
samples.",
doi = "10.5194/isprs-archives-XLI-B7-205-2016",
url = "http://dx.doi.org/10.5194/isprs-archives-XLI-B7-205-2016",
issn = "1682-1750",
label = "lattes: 2456184661855977 3 DiazFeitSancCost:2016:MEESTE",
language = "en",
targetfile = "diaz_method.pdf",
urlaccessdate = "27 abr. 2024"
}