@InProceedings{AbeMartRosa:2017:CaStSa,
author = "Abe, Camila Andrade and Martins, Vitor Souza and Rosa, Eliana
Bertol",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Evaluation of two supervised classification techniques and the
influences of thermal band application on target distinction: a
case study of Santa Catarina Island - Brazil",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "40--47",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Digital image classification is a useful process to characterize
the land cover and the land use by analyzing targets spectral and
spatial patterns. Digital image processing involves a manual or
automatic process for the distinction of targets based on visual
and statistical parameters. This study aimed to analyze the
accuracy of two supervised classifications for OLI/Landsat 8 image
featuring the island of Santa Catarina/Brazil applying two
methods: the pixel-based approach by maximum likelihood
classification with a post-processing step (majority filtering),
and region-based approach by Bhattacharyya classification. Both
classifications were submitted to an accuracy assessment through
the validation of classes (urban, forest, pasture and bare soil,
inland water and sand) based on references obtained from a high
spatial resolution image (RapidEye). The highest agreement between
classified image and the reference was achieved with the
classification applying the region-based approach. This approach
was then applied to evaluate the effects of the application of
thermal band 10 (OLI/Landsat 8) in the classification process.
Results revealed that the pixel-based approach and the
region-based approach presented less accuracy in regions where the
heterogeneity of the land cover is more complex and in addition,
it was also revealed an agreement reduction between the classified
data and the reference when OLI/Landsat 8 band 10 was used.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "60068",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS434B",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS434B",
targetfile = "60068.pdf",
type = "Landsat OLI",
urlaccessdate = "27 abr. 2024"
}