Satellite Image Fusion for Obtaining High Resolution Images Using Deep Neural Network-Reference-Cited by-同舟云学术

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Satellite Image Fusion for Obtaining High Resolution Images Using Deep Neural Network

Published:2022-09-22 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET)
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Author:

Rahman A Nisam¹,Tripathiy Vikas²,Gupta Ayan Das³,Paul Biju⁴,Kurian Manju T⁵,Vijayan Vinodh P⁶

Affiliation:

1. Innovation and Research Society,Mavelipuram,Kerala,India

2. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India

3. Chandernagore Government College,Department of Geography,Hugli,West Bengal,India

4. Rajagiri School of Engineering and Technology,Department of Information Technology,Cochin,Kerala,India

5. Baselios Mathews II College of Engineering,Department of Electronics and Communication Engineering,Sasthamkotta,Kerala,India

6. Mangalam College of Engineering,Kottayam,Kerala,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9967444/9967492/09967537.pdf?arnumber=9967537

Reference11 articles.

1. Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks

2. Performance enhanced hyperspectral and multispectral image fusion technique using ripplet type-II transform and deep neural networks for multimedia applications

3. Remote Sensing Image Fusion Based on Adaptively Weighted Joint Detail Injection

4. Remote Sensing Scene Classification Using Sparse Representation-Based Framework With Deep Feature Fusion

5. FusionCNN: a remote sensing image fusion algorithm based on deep convolutional neural networks

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