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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Nature-Inspired Framework for Hyperspectral Band Selection

Full text
Author(s):
Nakamura, Rodrigo Y. M. [1] ; Garcia Fonseca, Leila Maria [2] ; dos Santos, Jefersson Alex [3] ; Torres, Ricardo da S. [3] ; Yang, Xin-She [4] ; Papa, Joao Papa [1]
Total Authors: 6
Affiliation:
[1] Sao Paulo State Univ, Dept Comp, BR-17001970 Bauru - Brazil
[2] INPE Natl Inst Space Res, Image Proc Div, BR-12227001 Sao Jose Dos Campos - Brazil
[3] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP - Brazil
[4] Middlesex Univ, Sch Sci & Technol, London NW4 4BT - England
Total Affiliations: 4
Document type: Journal article
Source: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING; v. 52, n. 4, p. 2126-2137, APR 2014.
Web of Science Citations: 31
Abstract

Although hyperspectral images acquired by on-board satellites provide information from a wide range of wavelengths in the spectrum, the obtained information is usually highly correlated. This paper proposes a novel framework to reduce the computation cost for large amounts of data based on the efficiency of the optimum-path forest (OPF) classifier and the power of metaheuristic algorithms to solve combinatorial optimizations. Simulations on two public data sets have shown that the proposed framework can indeed improve the effectiveness of the OPF and considerably reduce data storage costs. (AU)

FAPESP's process: 08/58112-0 - Land use change in Amazonia: institutional analysis and modeling at multiple temporal and spatial scales
Grantee:Maria Isabel Sobral Escada
Support type: Research Program on Global Climate Change - Thematic Grants
FAPESP's process: 12/18768-0 - Multiscale classification by using optimum Path-Forest
Grantee:Jefersson Alex dos Santos
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 11/14058-5 - Exploring sequential learning approaches for Optimum-Path Forest
Grantee:Rodrigo Yuji Mizobe Nakamura
Support type: Scholarships in Brazil - Master
FAPESP's process: 09/18438-7 - Large-scale classification and retrieval for complex data
Grantee:Ricardo da Silva Torres
Support type: Regular Research Grants
FAPESP's process: 09/16206-1 - New trends on optimum-path forest-based pattern recognition
Grantee:João Paulo Papa
Support type: Research Grants - Young Investigators Grants