An Intelligent deep learning based hyperspectral Signal classification scheme for complex measurement systems-Reference-Cited by-同舟云学术

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An Intelligent deep learning based hyperspectral Signal classification scheme for complex measurement systems

Published:2022-01 Issue: Volume:188 Page:110540
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Mustafa Hilal Anwer,Al-Wesabi Fahd N.,Althobaiti Maha M.,Al Duhayyim Mesfer,Ahmed Hamza Manar,Kadry Seifedine,Rizwanullah Mohammed

Funder

Deanship of Scientific Research, King Faisal University

Taif University

King Khalid University

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference26 articles.

1. A New Structure for Binary and Multiple Hyperspectral Change Detection Based on Spectral Unmixing and Convolutional Neural Network;Seydi;Measurement,2021

2. Near-infrared hyperspectral imaging for polymer particle size estimation;Pieszczek;Measurement,2021

3. A framework of quasiconformal mapping-based kernel machine with its application to hyperspectral remote sensing;Xie;Measurement,2016

4. Deep learning for hyperspectral image classification: An overview;Li;IEEE Trans. Geosci. Remote Sens.,2019

5. Front-vehicle detection algorithm based on hypothesis and verification of improved HOG feature;Zhang;J. Electron. Meas. Instrum.,2015

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2. Hyperspectral imaging – a short review of methods and applications;Metrology and Measurement Systems;2023-11-16

3. Arithmetic Optimization Algorithm Assisted Deep Learning Model for Remote Sensing Image Classification;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

4. Hyperspectral Object Detection Using Bioinspired Jellyfish Search Optimizer With Deep Learning;IEEE Access;2023

5. Intelligent Rider Optimization Algorithm with Deep Learning Enabled Hyperspectral Remote Sensing Imaging Classification;Canadian Journal of Remote Sensing;2022-06-27

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