A new framework called SFA combines autoencoder-based spectral-spatial alignment with spectral autocorrelation matching to perform unsupervised cross-domain object detection on hyperspectral images.
Mask-guided spectral-wise transformer for efficient hyper- spectral image reconstruction
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment
A new framework called SFA combines autoencoder-based spectral-spatial alignment with spectral autocorrelation matching to perform unsupervised cross-domain object detection on hyperspectral images.