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Méthode de détection automatique de la glace de mer annuelle en mer de Bohai avec partition adaptative basée sur la concentration en particules en suspension

  • role： First author第一作者
  • Affiliation：

    MOE Key Laboratory of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China

    Beijing Laboratory of Water Resource Security, Capital Normal University, Beijing 100048, China

    State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China

  • Email：qiu_huachang@163.com
  • Introduction：邱华昌，研究方向为海冰遥感。E-mail：qiu_huachang@163.com
QIU Huachang,  
  • role： Corresponding author通信作者
  • Affiliation：

    MOE Key Laboratory of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China

    Beijing Laboratory of Water Resource Security, Capital Normal University, Beijing 100048, China

    State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China

  • Email：gongzhn@163.com
  • Introduction：宫兆宁，研究方向为湿地遥感。E-mail：gongzhn@163.com
GONG Zhaoning*,  
  • Affiliation：

    MOE Key Laboratory of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China

    Beijing Laboratory of Water Resource Security, Capital Normal University, Beijing 100048, China

    State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China

ZHAO Yuxin,  
  • Affiliation：

    MOE Key Laboratory of 3D Information Acquisition and Application, Capital Normal University, Beijing 100048, China

    Beijing Laboratory of Water Resource Security, Capital Normal University, Beijing 100048, China

    State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China

WU Hongwei

résumé

La glace de mer annuelle est un indicateur important du changement climatique dans les régions tempérées, où la glace mince d'une épaisseur inférieure à 10 cm répond particulièrement aux variations climatiques. Pour résoudre le problème de la forte variabilité spectrale, des changements significatifs de réflectance et la difficulté de détection de la glace mince dans la zone à forte dynamique de sédiments en suspension en mer de Bohai, cet article propose une méthode adaptative de partition basée sur les caractéristiques de forme spectrales, divisant dynamiquement la mer de Bohai en zones à faible et haute concentration de particules en suspension. Après partition, l'hétérogénéité de la concentration des particules en suspension dans chaque zone est significativement réduite, améliorant ainsi la détectabilité de la glace mince inférieure à 10 cm. Sur cette base, une méthode de seuil monocritère est utilisée pour déterminer automatiquement le seuil de segmentation, et les caractéristiques de bord sont intégrées pour renforcer la robustesse de l'algorithme. Cette méthode a été appliquée à des données d'imagerie optique MODIS, Sentinel-2, GF-1, Sentinel-3 et GOCI, et validée par la précision à l'aide de 12 scènes d'interprétation de glace de mer de 2017 à 2019 et d'échantillons d'images satellitaires à haute résolution publiés par le Centre de prévision marine nord du Ministère des ressources naturelles. Les résultats montrent que la précision de classification dépasse 90%, convient à divers capteurs optiques; des expériences de simulation de modèle de mélange spectral linéaire confirment que l'algorithme peut identifier efficacement la glace de mer annuelle avec une densité supérieure à 30% dans les zones à forte dynamique de sédiments en suspension. Cette étude fournit un soutien méthodologique efficace pour la surveillance opérationnelle de la glace de mer à partir de données optiques multisources.

mots-clés

Mer de Bohai; glace de mer annuelle; images multispectrales optiques; concentration en particules en suspension; indice CCI; partition adaptative; méthode de seuil monocritère; algorithme de détection automatique

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