Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework (2023)
- Authors:
- USP affiliated authors: CARVALHO, CARLOS HENRIQUE GROHMANN DE - IEE ; GARCIA, GUILHERME PEREIRA BENTO - IGC ; ESPADOTO, MATEUS - IME
- Unidades: IEE; IGC; IME
- DOI: 10.1080/01431161.2023.2197130
- Subjects: DESLIZAMENTO DE TERRA; SENSORIAMENTO REMOTO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Informa UK Limited
- Date published: 2023
- Source:
- Título: International Journal of Remote Sensing
- ISSN: 0143-1161
- Volume/Número/Paginação/Ano: v., n. , p. 2168-2195, 2023
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
GARCIA, Guilherme Pereira Bento et al. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, n. , p. 2168-2195, 2023Tradução . . Disponível em: https://doi.org/10.1080/01431161.2023.2197130. Acesso em: 27 dez. 2025. -
APA
Garcia, G. P. B., Soares, L., Espadoto, M., & Grohmann, C. H. (2023). Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, ( ), 2168-2195. doi:10.1080/01431161.2023.2197130 -
NLM
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1080/01431161.2023.2197130 -
Vancouver
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1080/01431161.2023.2197130 - Using terrestrial laser scanner and RPA-based-photogrammetry for surface analysis of a landslide: a comparison
- Remotely piloted aircraft‐based automated vertical surface survey
- Landslide Segmentation with Deep Learning: evaluating model generalization in rainfall-induced landslides in Brazil
- Structural analysis of clastic dikes using Structure from Motion - Multi-View Stereo: a case-study in the Paraná Basin, southeastern Brazil
- Análise morfométrica e identificação semi-automática de escorregamentos no Brasil utilizando lidar, SfM-MVS e Deep Learning
- Elaboração de mapas geomorfológicos a partir de modelos digitais de elevação
- Learning multidimensional projections with neural networks
- Comparing terrestrial laser scanner and UAV-based photogrammetry to generate a landslide DEM
- Monitoring geological risk areas in the city of São Paulo based on multi-temporal high-resolution 3D models
- Effects of spatial resolution on slope and aspect derivation for regional-scale analysis
Informações sobre o DOI: 10.1080/01431161.2023.2197130 (Fonte: oaDOI API)
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