Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region.
Lin ChenChunying RenGuangdao BaoBai ZhangZongming WangMingyue LiuWeidong ManJiafu LiuPublished in: Remote. Sens. (2022)
Keyphrases
- multi sensor
- input image
- lidar data
- image data
- data fusion
- image regions
- image features
- automatic registration
- region of interest
- image classification
- multi sensor fusion
- image registration
- object recognition
- urban environments
- image retrieval
- infrared
- image analysis
- segmentation algorithm
- image fusion
- multiple images
- aerial images
- edge detection
- gray level
- multispectral
- spatial relationships
- feature points
- high quality