HABNet: Machine Learning, Remote Sensing-Based Detection of Harmful Algal Blooms.
Paul R. HillAnurag KumarMarouane TemimiDavid R. BullPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
- remote sensing
- change detection
- machine learning
- water quality
- remote sensing images
- multispectral
- remote sensing imagery
- image analysis
- satellite images
- high resolution
- image fusion
- automatic image registration
- hyperspectral
- satellite data
- satellite imagery
- image processing
- remote sensing data
- high spatial resolution
- land cover
- false alarms
- digital image analysis
- remotely sensed images
- remote sensed images
- remotely sensed imagery
- detection method
- pattern recognition
- remotely sensed
- hyperspectral images
- target detection
- earth science
- hyperspectral imagery
- supervised learning
- hyperspectral imaging
- object detection
- computer science
- detection rate
- supervised classification
- multi spectral images
- remotely sensed data
- climate change
- data mining