A capsule-vectored neural network for hyperspectral image classification-Reference-Cited by-同舟云学术

A capsule-vectored neural network for hyperspectral image classification

Published:2023-05 Issue: Volume:268 Page:110482
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wang Xue^ORCID,Tan Kun^ORCID,Du Pejun,Han Bo,Ding Jianwei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference49 articles.

1. A unified multiscale learning framework for hyperspectral image classification;Wang;IEEE Trans. Geosci. Remote Sens.,2022

2. A supervised segmentation network for hyperspectral image classification;Sun;IEEE Trans. Image Process.,2021

3. A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images;Sun;Int. J. Appl. Earth Obs. Geoinf.,2021

4. Marine floating raft aquaculture extraction of hyperspectral remote sensing images based decision tree algorithm;Hou;Int. J. Appl. Earth Obs. Geoinf.,2022

5. Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery;Niu;Environ. Pollut.,2021

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