Detection of the Monitoring Window for Pine Wilt Disease Using Multi-Temporal UAV-Based Multispectral Imagery and Machine Learning Algorithms.
Dewei WuLinfeng YuRun YuQuan ZhouJiaxing LiXudong ZhangLili RenYouqing LuoPublished in: Remote. Sens. (2023)
Keyphrases
- machine learning algorithms
- multispectral
- image data
- remote sensing data
- remote sensing
- benchmark data sets
- learning algorithm
- remote sensing images
- remotely sensed
- machine learning
- multispectral images
- spatial resolution
- multi band
- land cover
- decision trees
- change detection
- satellite images
- machine learning methods
- hyperspectral data
- image analysis
- hyperspectral
- machine learning models
- digital elevation models
- random forests
- satellite imagery
- multispectral satellite images
- learning problems
- machine learning approaches
- land cover classification
- high resolution
- standard machine learning algorithms
- image processing
- disease outbreaks
- false alarms
- visible spectrum
- spectral images
- machine learning and data mining algorithms
- multispectral imaging
- spectral characteristics
- high spatial resolution
- target detection
- statistical machine learning
- hyperspectral imagery
- computer vision