@InProceedings{FerreiraShimSouz:2017:TrTrSp,
author = "Ferreira, Matheus Pinheiro and Shimabukuro, Yosio Edemir and Souza
Filho, Carlos Roberto",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Tropical tree species discrimination using very high-resolution
satellite images and texture analysis",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "546--553",
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 = "In this study, we evaluate the use of texture descriptors obtained
from very high-resolution satellite imagery to improve tree
species classification in a tropical forest. Gray level
co-occurrence matrix (GLCM), gabor and wavelet features were
combined with reflectance bands of the WorldView-2 (WV-2) and
QuickBird-2 (QB-2) satellite sensors to perform species
classification. The use of QB-2 and WV-2 reflectance data yielded
26.6% and 44.8% of average accuracy, respectively. Texture
features combined with QB-2 bands did not improve significantly
the results. However, the combination of GLCM features with WV-2
reflectance bands increased the average accuracy up to 5.7%,
exceeding 15% for some species. Pioneer species such as Cecropia
hololeuca and climax species such as Cariniana legalis were
classified with approximately 90% accuracy. The results highlight
the potential use of WV-2 imagery to monitor tropical forest
environments.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59219",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PS44FM",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44FM",
targetfile = "59219.pdf",
type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
urlaccessdate = "28 abr. 2024"
}