An Approach Based on Multiobjective Genetic Algorithms to Schedule Observations in Planetary Remote Sensing Missions.
Stefano PaternaMassimo SantoniLorenzo BruzzonePublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
- remote sensing
- multi objective
- genetic algorithm
- evolutionary algorithm
- change detection
- multi objective optimization
- multispectral
- remote sensing imagery
- remote sensing images
- multiobjective optimization
- remote sensing data
- satellite imagery
- image processing
- image fusion
- image analysis
- high resolution
- hyperspectral
- satellite data
- scheduling problem
- satellite images
- remotely sensed imagery
- high spatial resolution
- remote sensed images
- automatic image registration
- objective function
- nsga ii
- remotely sensed images
- digital image analysis
- land cover
- earth science
- fitness function
- neural network
- hyperspectral images
- remotely sensed
- hyperspectral imagery
- geographical information systems
- simulated annealing
- digital images
- earth observation
- multi spectral images
- remotely sensed data
- differential evolution
- remote sensing image processing