Comparison of Machine Learning Methods for Predicting Soil Total Nitrogen Content Using Landsat-8, Sentinel-1, and Sentinel-2 Images.
Qingwen ZhangMingyue LiuYongbin ZhangDehua MaoFuping LiFenghua WuJingru SongXiang LiCaiyao KouChunjing LiWeidong ManPublished in: Remote. Sens. (2023)
Keyphrases
- satellite images
- image data
- image database
- image analysis
- ground truth
- input image
- multispectral images
- porous media
- image collections
- multispectral
- web images
- three dimensional
- image retrieval
- quantitative evaluation
- object recognition
- region of interest
- image features
- multiple images
- image set
- image matching
- thematic mapper
- image classification
- image registration
- image regions
- rigid body
- feature vectors
- segmented images
- remote sensing data
- supervised classification
- segmentation algorithm
- semantic content
- image annotation
- computer vision
- feature points
- edge detection
- relevance feedback
- multiresolution
- similarity measure
- face recognition
- metadata