A Deep Learning Approach To Cloud And Shadow Detection In Multiresolution, Multitemporal And Multisensor Images
Accurate detection of clouds and shadows present in optical imagery is important in remote sensing for ensuring data quality and reliability. This study introduces a deep learning model capable of generating precise cloud and shadows masks for subsequent filtering. Unlike other works in literature,...
- Autores:
-
Arrechea-Castillo, Darwin Alexis
Solano-Correa, Yady Tatiana
Muñoz-Ordoñez, Julián Fernando
Pencue-Fierro, Edgar Leonairo
- Tipo de recurso:
- Fecha de publicación:
- 2024
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12731
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12731
- Palabra clave:
- Cloud Detection
Cloud Shadow Detection
Deep Learning
Remote Sensing
MultiSensor
LEMB
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb