A Distributed N-FINDR Cloud Computing-Based Solution for Endmembers Extraction on Large-Scale Hyperspectral Remote Sensing Data.
Victor Andres Ayma QuiritaGilson Alexandre Ostwald Pedro da CostaCésar Beltrán CastañónPublished in: Remote. Sens. (2022)
Keyphrases
- remote sensing data
- cloud computing
- hyperspectral
- hyperspectral data
- remote sensing
- multispectral
- distributed computing
- cloud computing environment
- hyperspectral images
- cloud computing platform
- big data
- computing resources
- infrared
- spectral signatures
- data management
- land cover classification
- mapreduce framework
- data intensive
- hyperspectral imagery
- remote sensing images
- data center
- target detection
- remote sensing imagery
- image data
- commodity hardware
- computing infrastructure
- spectral data
- distributed systems
- remotely sensed
- spatial resolution
- information content
- databases
- computer vision
- image analysis
- land cover
- change detection
- load balance
- query processing
- load balancing
- data streams
- multispectral images
- pattern recognition
- data sets
- satellite images