Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification-Reference-Cited by-同舟云学术

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Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification

Published:2021-01 Issue:1 Volume:31 Page:246-259
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Xie Jie,He Nanjun^ORCID,Fang Leyuan^ORCID,Ghamisi Pedram^ORCID

Funder

National Natural Science Foundation of China

National Natural Science Foundation

Huxiang Young Talents Plan Project of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9316347/09006959.pdf?arnumber=9006959

Cited by 71 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature extraction via 3-D homogeneous attribute decomposition for hyperspectral imagery classification;International Journal of Remote Sensing;2024-09-10

2. Multimodal Informative ViT: Information Aggregation and Distribution for Hyperspectral and LiDAR Classification;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

3. FSNA: Few-Shot Object Detection via Neighborhood Information Adaption and All Attention;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

4. A frequency and topology interaction network for hyperspectral image classification;Engineering Applications of Artificial Intelligence;2024-07

5. DMAF-NET: Deep Multi-Scale Attention Fusion Network for Hyperspectral Image Classification with Limited Samples;Sensors;2024-05-15

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