Airborne LiDAR Remote Sensing for Individual Tree Forest Inventory Using Trunk Detection-Aided Mean Shift Clustering Techniques.
Wei ChenXingbo HuWen ChenYifeng HongMinhua YangPublished in: Remote. Sens. (2018)
Keyphrases
- remote sensing
- mean shift
- lidar data
- mode seeking
- hyperspectral imagery
- high resolution
- hyperspectral
- change detection
- remotely sensed
- remote sensing images
- multispectral
- object tracking
- target detection
- urban areas
- image fusion
- partial occlusion
- hyperspectral data
- satellite images
- satellite imagery
- remote sensing imagery
- automatic image registration
- image analysis
- graph cuts
- hyperspectral images
- feature space
- land cover
- image processing
- particle filter
- target tracking
- satellite data
- remote sensing data
- point cloud
- remotely sensed images
- urban environments
- color image segmentation
- region merging
- earth observation
- kalman filter
- object detection
- unsupervised learning
- high quality
- detection algorithm
- color histogram
- soft clustering
- image classification
- feature extraction