MBAHIL: Design of a Multimodal Hybrid Bioinspired Model for Augmentation of Hyperspectral Imagery via Iterative Learning for Continuous Efficiency Enhancements-Reference-Cited by-同舟云学术

MBAHIL: Design of a Multimodal Hybrid Bioinspired Model for Augmentation of Hyperspectral Imagery via Iterative Learning for Continuous Efficiency Enhancements

Published:2023 Issue: Volume:11 Page:47781-47793
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Saini Dipen¹,Malik Rahul¹,Garg Rachit¹,Rahmani Mohammad Khalid Imam²^ORCID,Ahmed Md. Ezaz²^ORCID,Prashar Deepak¹^ORCID,Jha Sudan³^ORCID,Nazeer Jabeen⁴,Ahmad Sultan⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India

2. College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia

3. Department of Computer Science and Engineering, School of Engineering, Kathmandu University, Banepa, Kathmandu, Nepal

4. Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10119144.pdf?arnumber=10119144

Reference62 articles.

1. Progressive Data Augmentation Method for Remote Sensing Ship Image Classification Based on Imaging Simulation System and Neural Style Transfer

2. Satellite Image Classification with Data Augmentation and Convolutional Neural Network

3. Sam’s Net: A Self-Augmented Multistage Deep-Learning Network for End-to-End Reconstruction of Limited Angle CT

4. Laplacian Filter in Reconstruction of Images using Gradient-Based Algorithm

5. A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images Using a GAN

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