Nearest Neighboring Self-Supervised Learning for Hyperspectral Image Classification

Nearest Neighboring Self-Supervised Learning for Hyperspectral Image Classification

Recently, state-of-the-art classification performance of natural images has been obtained by self-supervised learning (S2L) as it can generate latent features through learning between different views of the same images. However, the latent semantic information of similar images has hardly been explo...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Yao Qin, Yuanxin Ye, Yue Zhao, Junzheng Wu, Han Zhang, Kenan Cheng, Kun Li
Формат: Өгүүллэг
Хэл сонгох:English
Хэвлэсэн: MDPI AG 2023-03-01
Цуврал:Remote Sensing
Нөхцлүүд:
self-supervised learning
nearest neighboring
hyperspectral image classification (HSIC)
data augmentation (DA)
bootstrap your own latent (BYOL)
spectral spatial residual network (SSRN)
Онлайн хандалт:https://www.mdpi.com/2072-4292/15/6/1713

Интернэт

https://www.mdpi.com/2072-4292/15/6/1713

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