Portable LiDAR-Based Method for Improvement of Grass Height Measurement Accuracy: Comparison with SfM Methods.
Hiroyuki ObanawaRena YoshitoshiNariyasu WatanabeSeiichi SakanouePublished in: Sensors (2020)
Keyphrases
- significant improvement
- computational cost
- high accuracy
- alternative methods
- machine learning methods
- preprocessing
- hybrid method
- high precision
- classification method
- highly accurate
- estimation accuracy
- methods outperform
- improved accuracy
- synthetic and real images
- error rate
- gold standard
- classical methods
- exhaustive search
- pairwise
- benchmark data sets
- decision trees
- accuracy rate
- reconstruction method
- segmentation accuracy
- methods require
- computational speed
- confusion matrix
- search methods
- missing values
- computational efficiency
- detection method
- clustering method
- classification accuracy
- spectral clustering
- structure from motion
- cross validation
- segmentation method
- feature set
- support vector machine
- probabilistic model
- computational complexity
- objective function
- neural network