Heterogeneous Spectral-Spatial Feature Transfer With Structure Preserved Distribution Alignment for Hyperspectral Image Classification

Cross-scene knowledge transfer has been proven effective to deal with the small-sample problem in hyperspectral image (HSI) classification. Currently, most of the existing works are based on the homogeneous settings where the source and target HSIs are observed from the same feature space, while the...

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Autori principali:	Chongxiao Zhong, Junping Zhang, Qingle Guo, Ye Zhang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2022-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Distribution alignment domain adaptation heterogeneous transfer learning HSI classification multiscale spectral-spatial features structure preservation
Accesso online:	https://ieeexplore.ieee.org/document/9813390/
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