| Full text | |
| Author(s): |
Resende, Hugo
;
Neto, Eduardo B.
;
Cappabianco, Fabio A. M.
;
Fazenda, Alvaro L.
;
Faria, Fabio A.
Total Authors: 5
|
| Document type: | Journal article |
| Source: | 2024 37TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, SIBGRAPI 2024; v. N/A, p. 6-pg., 2024-01-01. |
| Abstract | |
Conserving tropical forests is highly relevant socially and ecologically because of their critical role in the global ecosystem. However, the ongoing deforestation and degradation affect millions of hectares each year, necessitating government or private initiatives to ensure effective forest monitoring. In April 2019, a project based on Citizen Science and Machine Learning models called ForestEyes (FE) was launched with the aim of providing supplementary data to assist experts from government and non-profit organizations in their deforestation monitoring efforts. Recent research has shown that labeling FE project volunteers/citizen scientists helps tailor machine learning models. In this sense, we adopt the FE project to create different sampling strategies based on the wisdom of crowds to select the most suitable samples from the training set to learn an SVM technique and obtain better classification results in deforestation detection tasks. In our experiments, we can show that our strategy based on user entropy-increasing achieved the best classification results in the deforestation detection task when compared with the random sampling strategies, as well as, reducing the convergence time of the SVM technique. (AU) | |
| FAPESP's process: | 15/24485-9 - Future internet for smart cities |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 23/00811-0 - EcoSustain: computer and data science for the environment |
| Grantee: | Antonio Jorge Gomes Abelém |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 14/50937-1 - INCT 2014: on the Internet of the Future |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 19/26702-8 - Trends on high performance computing, from resource management to new computer architectures |
| Grantee: | Alfredo Goldman vel Lejbman |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 23/00782-0 - ForestEyes Project - Citizens monitoring deforestation |
| Grantee: | Álvaro Luiz Fazenda |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 18/23908-1 - Towards the Robustness in Deep Learning Architectures for e-Science Applications |
| Grantee: | Fabio Augusto Faria |
| Support Opportunities: | Scholarships abroad - Research |