Comparing Three Methods of Selecting Training Samples in Supervised Classification of Multispectral Remote Sensing Images.
Hongying ZhangJinxin HeShengbo ChenYe ZhanYanyan BaiYujia QinPublished in: Sensors (2023)
Keyphrases
- multispectral
- remote sensing images
- remotely sensed images
- supervised classification
- training samples
- land cover
- remote sensing
- land cover classification
- multispectral images
- change detection
- remote sensing data
- supervised learning
- spatial resolution
- image analysis
- image data
- satellite images
- unsupervised classification
- multi spectral images
- urban areas
- high spatial resolution
- feature space
- hyperspectral
- learning algorithm
- data sets
- unsupervised learning
- remote sensing imagery
- machine learning
- image segmentation
- face recognition
- training data
- high quality
- image fusion
- training set