Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering.
Sam L. PolkAland H. Y. ChanKangning CuiRobert J. PlemmonsDavid A. CoomesJames M. MurphyPublished in: IGARSS (2022)
Keyphrases
- hyperspectral images
- target detection
- unsupervised learning
- hyperspectral
- hyperspectral imaging
- clustering algorithm
- hyperspectral imagery
- clustering method
- hyperspectral data
- false alarms
- remote sensing
- detection rate
- object detection
- detection algorithm
- detection method
- hyperspectral image classification
- computer vision
- document clustering
- change detection
- k means
- multispectral
- object recognition
- machine learning
- face detection
- co occurrence
- spectral signatures