The intelligent remote sensing image interpretation and cognitive application platform is driven by advancements in various technological fields, with a primary focus on industry applications. This platform adheres to established software development standards and integration guidelines to ensure a standardized and user-friendly environment. On the one hand, it enables efficient management of diverse remote sensing data formats from various sources, provides tools for organizing and managing labeled datasets used for algorithm training and model development, and facilitates the integration and management of various intelligent processing algorithms as user-installable modules, including features for monitoring platform performance and resource utilization. On the other hand, the platform addresses the specific needs of industry applications in sectors such as national defense, surveying, meteorology, environmental protection, agriculture, and marine resource management. These needs often involve high timeliness, multimodality (involving data from multiple sensors), and fine-grained analysis. To address these requirements, the platform provides a unified plug-in interface that enables the seamless integration of diverse intelligent processing algorithms tailored to specific industry demands. Ultimately, the platform strives to become an autonomous and extensible intelligent application software platform. This means it should be capable of operating with minimal human intervention and should be adaptable to incorporate new algorithms and functionalities as needed, ensuring its long-term usability and value across various industry applications.

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Intelligent Remote Sensing Image Analysis: A Cognitive Platform for Interpretation

  • Pengming Feng,
  • Yuanwei Chen,
  • Haiyan Lan,
  • Guangjun He,
  • Yang Li,
  • Jian Guan

摘要

The intelligent remote sensing image interpretation and cognitive application platform is driven by advancements in various technological fields, with a primary focus on industry applications. This platform adheres to established software development standards and integration guidelines to ensure a standardized and user-friendly environment. On the one hand, it enables efficient management of diverse remote sensing data formats from various sources, provides tools for organizing and managing labeled datasets used for algorithm training and model development, and facilitates the integration and management of various intelligent processing algorithms as user-installable modules, including features for monitoring platform performance and resource utilization. On the other hand, the platform addresses the specific needs of industry applications in sectors such as national defense, surveying, meteorology, environmental protection, agriculture, and marine resource management. These needs often involve high timeliness, multimodality (involving data from multiple sensors), and fine-grained analysis. To address these requirements, the platform provides a unified plug-in interface that enables the seamless integration of diverse intelligent processing algorithms tailored to specific industry demands. Ultimately, the platform strives to become an autonomous and extensible intelligent application software platform. This means it should be capable of operating with minimal human intervention and should be adaptable to incorporate new algorithms and functionalities as needed, ensuring its long-term usability and value across various industry applications.