| Texto completo | |
| Autor(es): |
Marinho, Giovanna Carreira
;
Marcilio, Wilson Estecio
;
Dias, Mauricio Araujo
;
Eler, Danilo Medeiros
;
Artero, Almir Olivette
;
Casaca, Wallace
;
Negri, Rogerio Galante
Número total de Autores: 7
|
| Tipo de documento: | Artigo Científico |
| Fonte: | REMOTE SENSING; v. 15, n. 24, p. 24-pg., 2023-12-01. |
| Resumo | |
Anomaly detection based on Kittler's Taxonomy (ADS-KT) has emerged as a powerful strategy for identifying and categorizing patterns that exhibit unexpected behaviors, being useful for monitoring environmental disasters and mapping their consequences in satellite images. However, the presence of clouds in images limits the analysis process. This article investigates the impact of associating ADS-KT with image editing, mainly to help machines learn how to extend the mapping of polluted water bodies to areas occluded by clouds. Our methodology starts by applying ADS-KT to two images from the same geographic region, where one image has meaningfully more overlay contamination by cloud cover than the other. Ultimately, the methodology applies an image editing technique to reconstruct areas occluded by clouds in one image based on non-occluded areas from the other image. The results of 99.62% accuracy, 74.53% precision, 94.05% recall, and 83.16% F-measure indicate that this study stands out among the best of the state-of-the-art approaches. Therefore, we conclude that the association of ADS-KT with image editing showed promising results in extending the mapping of polluted water bodies by a machine to occluded areas. Future work should compare our methodology to ADS-KT associated with other cloud removal methods. (AU) | |
| Processo FAPESP: | 21/01305-6 - Avanços teóricos em detecção de anomalias e construção de sistemas de monitoramento ambiental |
| Beneficiário: | Rogério Galante Negri |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 21/03328-3 - Desenvolvimento de novas metodologias e soluções tecnológicas inteligentes em segmentação de imagens digitais e enfrentamento da COVID-19 |
| Beneficiário: | Wallace Correa de Oliveira Casaca |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 20/06477-7 - Análise de séries temporais de imagens de sensoriamento remoto para a detecção de anomalias |
| Beneficiário: | Giovanna Carreira Marinho |
| Modalidade de apoio: | Bolsas no Brasil - Iniciação Científica |
| Processo FAPESP: | 16/24185-8 - Detecção, análise e localização de anomalias: um estudo de caso sobre imagens digitais estáticas de sensoriamento remoto aplicado à Cartografia |
| Beneficiário: | Maurício Araújo Dias |
| Modalidade de apoio: | Bolsas no Exterior - Pesquisa |