Correcting the Results of CHM-Based Individual Tree Detection Algorithms to Improve Their Accuracy and Reliability.
Maciej LisiewiczAgnieszka KaminskaBartlomiej KraszewskiKrzysztof SterenczakPublished in: Remote. Sens. (2022)
Keyphrases
- computational complexity
- computational cost
- computational demands
- detection accuracy
- detection rate
- data structure
- significant improvement
- computational efficiency
- high accuracy
- benchmark datasets
- detection algorithm
- times faster
- tree structure
- orders of magnitude
- machine learning
- theoretical analysis
- lower bound
- detection method
- computationally efficient
- evolutionary algorithm
- objective function
- automatic detection
- exhaustive search
- image sequences
- tree search
- learning algorithm