Detection and Quantification of Arnica montana L. Inflorescences in Grassland Ecosystems Using Convolutional Neural Networks and Drone-Based Remote Sensing.
Dragomir D. SângeorzanFlorin PacurarAlbert ReifHolger WeinackerEvelyn RusdeaIoana VaidaIoan RotarPublished in: Remote. Sens. (2024)
Keyphrases
- remote sensing
- change detection
- convolutional neural networks
- multispectral
- remote sensing images
- satellite images
- remote sensing imagery
- satellite imagery
- image processing
- high resolution
- image analysis
- remote sensing data
- satellite data
- high spatial resolution
- image fusion
- hyperspectral
- land cover
- remote sensed images
- multi spectral images
- remotely sensed imagery
- detection rate
- hyperspectral remote sensing
- automatic image registration
- remotely sensed
- face detection
- remote sensing image processing
- convolutional network
- land cover classification
- video sequences
- neural network
- remotely sensed data
- digital image analysis
- environmental sciences
- hyperspectral imagery
- false alarms
- hyperspectral imaging
- earth observation
- high resolution satellite images
- pattern recognition
- high quality
- remotely sensed images
- climate change
- wavelet transformation