Multiannual Change Detection in Long and Dense Satellite Image Time Series Based on Dynamic Time Warping
High-resolution (HR) satellite image time series (SITS) are a valuable data source for analyzing land cover change (LCC) due to their large amount of spatial, spectral, and temporal information. However, most existing LCC detection methods focus on binary change detection (CD) within a single year a...
- Autores:
-
Meshkini, Khatereh
Bovolo, Francesca
Bruzzone, Lorenzo
Solano Correa, Yady Tatiana
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2024
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12726
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12726
- Palabra clave:
- Dynamic time warping (DTW)
Hypertemporal feature
Land cover change (LCC)
Land cover (LC) transition
Multiannual
Remote sensing (RS)
LEMB
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb