A Superpixel-by-Superpixel Clustering Framework for Hyperspectral Change Detection.
Qiuxia LiTingkui MuHang GongHaishan DaiChunlai LiZhiping HeWenjing WangFeng HanAbudusalamu TuniyaziHaoyang LiXuechan LangZhiyuan LiBin WangPublished in: Remote. Sens. (2022)
Keyphrases
- change detection
- remote sensing
- hyperspectral
- clustering framework
- remotely sensed
- remote sensing imagery
- satellite images
- remote sensing images
- hyperspectral imagery
- multispectral
- hyperspectral images
- remote sensing data
- clustering method
- image analysis
- remotely sensed images
- satellite imagery
- image processing
- spatial resolution
- hyperspectral data
- high resolution
- target detection
- clustering algorithm
- high dimensional datasets
- land cover
- data streams
- wavelet transformation
- pattern recognition
- similarity metric
- concept drift
- information content
- infrared
- semi supervised
- image data
- text clustering
- neural network
- k means
- multiscale
- detection algorithm
- input image
- image registration