I<sup>2</sup>MEP-Net: Inter- and Intra-Modality Enhancing Prototypical Network for Few-Shot Hyperspectral Image Classification-Reference-Cited by-同舟云学术

I²MEP-Net: Inter- and Intra-Modality Enhancing Prototypical Network for Few-Shot Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Wenzhen¹^ORCID,Liu Fang¹^ORCID,Xiao Liang²^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. School of Computer Science and Engineering and the Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China

Funder

Jiangsu Geological Bureau Research Project

Postgraduate Research and Practice Innovation Program of Jiangsu Province

Open Research Fund Program of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing

Open Foundations of Jiangsu Province Engineering Research Center of Airborne Detecting and Intelligent Perceptive Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10510244.pdf?arnumber=10510244

Reference47 articles.

1. Hyperspectral Image Classification Based On Fuzzy Nonparallel Support Vector Machine

2. WDRKNN: Weighted Distance Representation based Nearest Neighbor for Hyperspectral Remote Sensing Imagery Classification

3. Bayesian Gravitation-Based Classification for Hyperspectral Images

4. Information Fusion for Classification of Hyperspectral and LiDAR Data Using IP-CNN

5. Unsupervised Hyperspectral Band Selection via Hybrid Graph Convolutional Network