%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/07.19.12.15
%2 sid.inpe.br/sibgrapi/2016/07.19.12.15.16
%@doi 10.1109/SIBGRAPI.2016.063
%T Learning to Combine Spectral Indices with Genetic Programming
%D 2016
%A Hernández, Juan Felipe,
%A Santos, Jefersson Alex dos,
%A Torres, Ricardo da S.,
%@affiliation Institute of Computing, University of Campinas
%@affiliation Department of Computer Science, Federal University of Minas Gerais
%@affiliation Institute of Computing, University of Campinas
%E Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I IEEE Computer Society´s Conference Publishing Services
%J Los Alamitos
%S Proceedings
%K Band selection and combination, Genetic Programming.
%X This paper introduces a Genetic Programming- based method for band selection and combination, aiming to support remote sensing image classification tasks. Relying on ground-truth data, our method selects spectral bands and finds the arithmetic combination of those bands (i.e., spectral index) that best separates examples of different classes. Experimental results demonstrate that the proposed method is very effective in pixel-wise binary classification problems.
%@language en
%3 PID4359701.pdf