Remote Sensing Collaborative Classification Using Multimodal Adaptive Modulation Network-Reference-Cited by-同舟云学术

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Remote Sensing Collaborative Classification Using Multimodal Adaptive Modulation Network

Published:2024 Issue: Volume:62 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Mengmeng¹^ORCID,Zhao Yuyang¹^ORCID,Chen Rongjie²,Gao Yunhao¹^ORCID,Li Zhengmao³,Li Wei¹^ORCID

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

2. Laizhou Municipal Bureau of Marine Development and Fisheries, Yantai, China

3. Shandong Provincial Key Laboratory of Restoration for Marine Ecology, Shandong Marine Resource and Environment Research Institute, Yantai, China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Beijing Institute of Technology (BIT) Research and Innovation Promoting Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10659882.pdf?arnumber=10659882

Reference46 articles.

1. Spectral–Spatial Weighted Kernel Manifold Embedded Distribution Alignment for Remote Sensing Image Classification

2. Relationship Learning From Multisource Images via Spatial-Spectral Perception Network

3. Collaborative classification of hyperspectral and visible images with convolutional neural network

4. Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion

5. Deep Multiview Union Learning Network for Multisource Image Classification

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2. Harmony in diversity: Content cleansing change detection framework for very-high-resolution remote-sensing images;ISPRS Journal of Photogrammetry and Remote Sensing;2024-12

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