Dimension Reduction of Combined Image and Elevation Remote Sensing Data Using UMAP, Autoencoders, and Variational Autoencoders: Investigation on Shaded Regions.
Dimitri BulatovMelanie BögeDenis DebroizeGisela HäufelKevin QiuPublished in: IGARSS (2023)
Keyphrases
- dimension reduction
- remote sensing data
- input image
- image features
- image regions
- denoising
- image segmentation
- image content
- image classification
- aerial images
- image analysis
- high dimensional
- principal component analysis
- feature extraction
- multispectral
- remote sensing
- feature selection
- nonlinear manifold
- unsupervised learning
- image data
- image retrieval
- data sets
- high dimensionality
- infrared
- image representation
- input data
- high resolution
- spatial relationships
- hyperspectral
- remote sensing images
- hyperspectral images
- similarity measure
- remotely sensed data