Deep remote fusion: development of improved deep CNN with atrous convolution-based remote sensing image fusion-Reference-Cited by-同舟云学术

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Deep remote fusion: development of improved deep CNN with atrous convolution-based remote sensing image fusion

Published:2023-05-11 Issue: Volume: Page:1-21
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Nagarathinam S.¹,Vasuki A.²,Paramasivam K.³

Affiliation:

1. Department of Electronics and Communication Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India

2. Department of Mechatronics Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India

3. Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2023.2206761

Reference41 articles.

1. Sallfus, library for satellite images fusion on homogeneous and heterogeneous computing architectures

2. Quality Assessment of Panchromatic and Multispectral Image Fusion for the ZY-3 Satellite: From an Information Extraction Perspective

3. SIRF: Simultaneous Satellite Image Registration and Fusion in a Unified Framework

4. A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter

5. Convolution Structure Sparse Coding for Fusion of Panchromatic and Multispectral Images

Cited by 1 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. Satellite image fusion using cyclic spatio-spectral GAN model;International Journal of Image and Data Fusion;2023-11-20

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