Deep Learning of High-Resolution Unmanned Aerial Vehicle Imagery for Classifying Halophyte Species: A Comparative Study for Small Patches and Mixed Vegetation.
Keunyong KimDonguk LeeYeongjae JangJingyo LeeChung-Ho KimHyeong-Tae JouJoo-Hyung RyuPublished in: Remote. Sens. (2023)
Keyphrases
- deep learning
- high resolution
- remote sensing
- unmanned aerial vehicles
- low resolution
- unsupervised learning
- satellite images
- super resolution
- image processing
- unsupervised feature learning
- high quality
- image patches
- path planning
- computer vision
- weakly supervised
- machine learning
- natural images
- mental models
- dimensionality reduction
- face recognition
- artificial intelligence