Automated soybean mapping based on canopy water content and chlorophyll content using Sentinel-2 images.
Yingze HuangBingwen QiuChongcheng ChenXiaolin ZhuWenbin WuFanchen JiangDuoduo LinYufeng PengPublished in: Int. J. Appl. Earth Obs. Geoinformation (2022)
Keyphrases
- input image
- image database
- image data
- image analysis
- image classification
- rigid body
- image features
- three dimensional
- test images
- ground truth
- image retrieval
- object recognition
- similarity measure
- metadata
- keypoints
- spatial information
- multiple images
- web images
- photo collections
- feature points
- image collections
- image set
- fully automatic
- image registration
- feature extraction
- lighting conditions
- image annotation
- multimedia data
- multimedia content
- edge detection
- automated segmentation