| Full text | |
| Author(s): |
Albarracin, Juan F. H.
[1]
;
Oliveira, Rafael S.
[2]
;
Hirota, Marina
[3, 2]
;
dos Santos, Jefersson A.
[4]
;
Torres, Ricardo da S.
[5]
Total Authors: 5
|
| Affiliation: | [1] Univ Estadual Campinas, Inst Comp, BR-13000000 Campinas - Brazil
[2] Univ Estadual Campinas, Inst Biol, BR-13000000 Campinas - Brazil
[3] Univ Fed Santa Catarina, Dept Phys, BR-88040900 Florianopolis, SC - Brazil
[4] Univ Fed Minas Gerais, Dept Comp Sci, BR-31270901 Belo Horizonte, MG - Brazil
[5] Norwegian Univ Sci & Technol NTNU, Dept ICT & Nat Sci, N-6009 Alesund - Norway
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | REMOTE SENSING; v. 12, n. 14 JUL 2020. |
| Web of Science Citations: | 0 |
| Abstract | |
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. (AU) | |
| FAPESP's process: | 15/02105-0 - Identifying temporal changes in tropical South American vegetation: a breakpoint detection approach |
| Grantee: | Alexandre Esteves Almeida |
| Support type: | Scholarships in Brazil - Master |
| FAPESP's process: | 14/50715-9 - Characterizing and predicting biomass production in sugarcane and eucalyptus plantations in Brazil |
| Grantee: | Rubens Augusto Camargo Lamparelli |
| Support type: | Research Grants - Research Partnership for Technological Innovation - PITE |
| FAPESP's process: | 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes |
| Grantee: | Ricardo da Silva Torres |
| Support type: | Research Grants - Research Partnership for Technological Innovation - PITE |
| FAPESP's process: | 16/08085-3 - A tool based on time series-extracted artifacts for definition of ecology measures |
| Grantee: | Alexandre Esteves Almeida |
| Support type: | Scholarships abroad - Research Internship - Master's degree |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support type: | Research Projects - Thematic Grants |
| FAPESP's process: | 17/12646-3 - Déjà vu: feature-space-time coherence from heterogeneous data for media integrity analytics and interpretation of events |
| Grantee: | Anderson de Rezende Rocha |
| Support type: | Research Projects - Thematic Grants |
| FAPESP's process: | 16/26170-8 - Structural breaks detection in time series and its use in the definition of stability measures |
| Grantee: | Nathália Menini Cardoso dos Santos |
| Support type: | Scholarships in Brazil - Master |
| FAPESP's process: | 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems |
| Grantee: | Leonor Patricia Cerdeira Morellato |
| Support type: | Research Program on Global Climate Change - University-Industry Cooperative Research (PITE) |
| FAPESP's process: | 18/06918-3 - Quantifying Amazon's resilience through structural breaks associated with extreme climatic events |
| Grantee: | Nathália Menini Cardoso dos Santos |
| Support type: | Scholarships abroad - Research Internship - Master's degree |