Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing.
Uttam KumarSangram GangulyRamakrishna R. NemaniS. Kumar RajaCristina MilesiRuchita SinhaAndrew R. MichaelisPetr VotavaHirofumi HashimotoShuang LiWeile WangSubodh KaliaShreekant GayakaPublished in: Remote. Sens. (2017)
Keyphrases
- satellite data
- land cover
- high performance computing
- remote sensing
- multispectral
- learning algorithm
- change detection
- satellite images
- remote sensing images
- remote sensing data
- massively parallel
- land cover classification
- geographic information systems
- supervised classification
- parallel computing
- computing systems
- computing resources
- energy efficiency
- grid computing
- supervised learning
- image processing
- machine learning
- image data
- data mining
- urban areas
- active learning
- image analysis