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Updated: Feb 14, 2026

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
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Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

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漸進的な注意力強化効率Net-UNetは,衛星画像からの水体の堅牢なマッピングのためのものです

Mohamed Ezz1, Alaa S Alaerjan1, Ayman Mohamed Mostafa2

  • 1Computer Science Department, College of Computer and Information Sciences, Jouf University, Sakaka 72388, Saudi Arabia.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

この研究は,衛星画像における水体の正確な検出のための高度なディープラーニングモデルを導入しています. この新しいアプローチは,持続可能な水資源管理と気候に耐性のあるインフラ開発を強化します.

キーワード:
注意力メカニズム 注意力メカニズムコンヴォルショナル・ブロック・アテンション・モジュール (CBAM)ディープラーニングアーキテクチャ ディープラーニングアーキテクチャ変更されたEfficientNet UNetリモートセンシング画像水体の境界線が定められている.

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