A Multipath and Multiscale Siamese Network Based on Spatial-Spectral Features for Few-Shot Hyperspectral Image Classification

Deep learning has been demonstrated to be a powerful nonlinear modeling method with end-to-end optimization capabilities for hyperspectral Images (HSIs). However, in real classification cases, obtaining labeled samples is often time-consuming and labor-intensive, resulting in few-shot training sampl...

Cijeli opis

Bibliografski detalji

Glavni autori:	Jinghui Yang, Jia Qin, Jinxi Qian, Anqi Li, Liguo Wang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-09-01
Serija:	Remote Sensing
Teme:	hyperspectral image (HSI) Siamese network few-shot training samples classification multiscale
Online pristup:	https://www.mdpi.com/2072-4292/15/18/4391
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!