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Exploring Applications of Convolutional Neural Networks in Analyzing Multispectral Satellite Imagery:A Systematic Review

Antonia Ivanda Ljiljana Šerić Maja Braović

大数据挖掘与分析（英文版）2025，Vol.8Issue(2)：407-429,23.

大数据挖掘与分析（英文版）2025，Vol.8Issue(2)：407-429,23.DOI:10.26599/BDMA.2024.9020086

Exploring Applications of Convolutional Neural Networks in Analyzing Multispectral Satellite Imagery:A Systematic Review

Antonia Ivanda ¹Ljiljana Šerić ¹Maja Braović¹

作者信息

1. Department of Electronics and Computer Science,Faculty of Electrical Engineering,Mechanical Engineering and Naval Architecture,University of Split,Split 21000,Croatia
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摘要

关键词

remote sensing/MultiSpectral Images(MSI)/satellite images/Convolutional Neural Networks(CNN)/machine learning/classification/regression/segmentation

Key words

remote sensing/MultiSpectral Images(MSI)/satellite images/Convolutional Neural Networks(CNN)/machine learning/classification/regression/segmentation

引用本文复制引用

Antonia Ivanda,Ljiljana Šerić,Maja Braović..Exploring Applications of Convolutional Neural Networks in Analyzing Multispectral Satellite Imagery:A Systematic Review[J].大数据挖掘与分析（英文版）,2025,8(2):407-429,23.

基金项目

This research was supported through Project Coastal Auto-purification Assessment Technology(CAAT),funded by the European Union from European Structural and Investment Funds 2014-2020(No.KK.01.1.1.04.0064). （CAAT）

大数据挖掘与分析（英文版）

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