A Near Real-Time Method for Forest Change Detection Based on a Structural Time Series Model and the Kalman Filter.
Martin PuhmJanik DeutscherManuela HirschmuglAndreas WimmerUrsula SchmittMathias SchardtPublished in: Remote. Sens. (2020)
Keyphrases
- remote sensing data
- remote sensing
- change detection
- remote sensing images
- kalman filter
- kalman filtering
- land cover change
- image processing
- state space model
- gamma distributions
- reduced order model
- object tracking
- state estimation
- computer simulation
- particle filter
- image segmentation
- autoregressive
- machine learning
- extended kalman filter
- data sets