An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF.
Roberto Lomelí-HuertaJuan Pablo Rivera CaicedoMiguel De-la-TorreBrenda Acevedo-JuárezJushiro Cepeda-MoralesHimer Avila-GeorgePublished in: PeerJ Comput. Sci. (2022)
Keyphrases
- missing data
- satellite imagery
- data intensive computing
- big data
- data grids
- remote sensing
- satellite images
- change detection
- missing values
- incomplete data
- land cover
- urban areas
- storage systems
- data sets
- remote sensing images
- grid computing
- image processing
- business intelligence
- query processing
- semi supervised
- load balancing
- image registration