@InProceedings{NegriDutrSant:2012:SuVeMa,
author = "Negri, Rog{\'e}rio Galante and Dutra, Luciano Vieira and
Sant'Anna, Sidinei Jo{\~a}o Siqueira",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Support Vector Machine and Bathacharrya Kernel Function for Region
Based Classification",
booktitle = "Proceedings...",
year = "2012",
organization = "IEEE International Geoscience and Remote Sensing Symposium, 32.
(IGARSS).",
keywords = "Region Based Classification, Support Vector Machine, Stochastic
Distance, Bhattacharyya Kernel Function.",
abstract = "Region based methods are indicated to classify image with strong
heterogeneity, where only the spectral information is not enough.
Different approaches have been proposed to perform this kind of
classification. This study presents a new approach for region
based classification that consists in use the Support Vector
Machine (SVM) method with Bhattacharyya kernel function. A high
resolution IKONOS image was classified. The classification results
shows that SVM method using the Bhattacharyya kernel is better
than Minimum Distance Classifier and conventional SVM.",
conference-location = "Munich",
conference-year = "2012",
label = "lattes: 8201805132981288 1 NegriDutrSant:2012:SuVeMa",
language = "en",
targetfile = "negri_support.pdf",
urlaccessdate = "04 maio 2024"
}