Machine Learning in the Classification of Soybean Genotypes for Primary Macronutrients' Content Using UAV-Multispectral Sensor.
Dthenifer Cordeiro SantanaMarcelo Carvalho Minhoto Teixeira FilhoMarcelo Rinaldi da SilvaPaulo Henrique Menezes das ChagasJoão Lucas Gouveia de OliveiraFábio Henrique Rojo BaioCid Naudi Silva CamposLarissa Pereira Ribeiro TeodoroCarlos Antonio da Silva JuniorPaulo Eduardo TeodoroLuciano Shozo ShiratsuchiPublished in: Remote. Sens. (2023)
Keyphrases
- multispectral
- machine learning
- land cover classification
- multi spectral images
- pattern recognition
- hyperspectral data
- remote sensing
- multispectral images
- decision trees
- remote sensing images
- remotely sensed
- hyperspectral images
- multi band
- supervised classification
- spatial resolution
- satellite images
- machine learning methods
- image analysis
- image data
- feature selection
- hyperspectral
- supervised learning
- feature space
- image classification
- hyperspectral imagery
- high spatial resolution
- spectral bands
- remote sensing data
- multispectral satellite images
- land cover
- feature vectors
- feature extraction
- computer vision
- remotely sensed data
- multispectral imaging
- unsupervised learning
- active learning
- training set
- visible spectrum
- remote sensing imagery
- spectral characteristics
- spectral images
- data mining
- neural network