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Article

A Soft Computing Approach for Selecting and Combining Spectral Bands

1
Institute of Computing, University of Campinas, Campinas 13000-000, Brazil
2
Institute of Biology at University of Campinas, Campinas 13000-000, Brazil
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Department of Physics, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil
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Department of Computer Science at Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
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Department of ICT and Natural Sciences at Norwegian University of Science and Technology (NTNU), 6009 Ålesund, Norway
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(14), 2267; https://doi.org/10.3390/rs12142267
Received: 17 June 2020 / Revised: 8 July 2020 / Accepted: 9 July 2020 / Published: 15 July 2020
We introduce a soft computing approach for automatically selecting and combining indices from remote sensing multispectral images that can be used for classification tasks. The proposed approach is based on a Genetic-Programming (GP) framework, a technique successfully used in a wide variety of optimization problems. Through GP, it is possible to learn indices that maximize the separability of samples from two different classes. Once the indices specialized for all the pairs of classes are obtained, they are used in pixelwise classification tasks. We used the GP-based solution to evaluate complex classification problems, such as those that are related to the discrimination of vegetation types within and between tropical biomes. Using time series defined in terms of the learned spectral indices, we show that the GP framework leads to superior results than other indices that are used to discriminate and classify tropical biomes. View Full-Text
Keywords: genetic programming; spectral indices; vegetation indices; image classification genetic programming; spectral indices; vegetation indices; image classification
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MDPI and ACS Style

Albarracín, J.F.H.; Oliveira, R.S.; Hirota, M.; dos Santos, J.A.; Torres, R.d.S. A Soft Computing Approach for Selecting and Combining Spectral Bands. Remote Sens. 2020, 12, 2267. https://doi.org/10.3390/rs12142267

AMA Style

Albarracín JFH, Oliveira RS, Hirota M, dos Santos JA, Torres RdS. A Soft Computing Approach for Selecting and Combining Spectral Bands. Remote Sensing. 2020; 12(14):2267. https://doi.org/10.3390/rs12142267

Chicago/Turabian Style

Albarracín, Juan F. H., Rafael S. Oliveira, Marina Hirota, Jefersson A. dos Santos, and Ricardo da S. Torres. 2020. "A Soft Computing Approach for Selecting and Combining Spectral Bands" Remote Sensing 12, no. 14: 2267. https://doi.org/10.3390/rs12142267

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