Biomass and vegetation coverage survey in the Mu Us sandy land - based on unmanned aerial vehicle RGB images.
Zichen GuoTao WangShulin LiuWenping KangXiang ChenKun FengXue-qin ZhangYing ZhiPublished in: Int. J. Appl. Earth Obs. Geoinformation (2021)
Keyphrases
- image data
- image classification
- unmanned aerial vehicles
- input image
- ground truth
- image retrieval
- image features
- image database
- satellite images
- object recognition
- image analysis
- rigid body
- image annotation
- image understanding
- gray scale
- color space
- image quality
- real time
- aerial images
- expert systems
- land cover
- image registration