A Novel Conditional Alignment and Pseudolabel Generation Method for Cross-Scene Hyperspectral Image Classification

A key bottleneck in cross-scene hyperspectral image (HSI) classification comes from domain shift, which poses a significant challenge for applying network models to some new, unlabeled scenes. Unsupervised domain adaptation, which aims to align the distributions of the source and target domains, has...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Cuiping Shi, Shihang Ding, Zhipeng Zhong, Yanmin Shuai, Keyan Wang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2026-01-01
Sarja:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Aiheet:	Conditional distribution alignment domain adaptation hyperspectral image (HSI) classification pseudolabel
Linkit:	https://ieeexplore.ieee.org/document/11487963/
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!