瞭望神州-时空AI引擎

将AI算法与空间坐标深度融合，结合自然资源应用场景自定义大模型神经网络，汇聚全国超10万路时空地理高空视频终端，训练成熟算法60余种，构建时空大数据算法引擎，通过时空AI训练平台完善数据模型，提升精度丰富平台算法，扩展时空大数据引擎的空间分析能力，支持多种自然资源应用场景，实现基与大模型与空间融合的影像地类提取、目标识别。

Deeply integrates AI algorithms with spatial coordinates, customizes large language model (LLM) neural networks tailored for natural resource application scenarios, aggregates over 100,000 spatio-temporal geographic high-altitude video terminals across the country, has trained more than 60 mature algorithms, constructs a spatio-temporal big data algorithm engine, refines data models via the spatio-temporal AI training platform, improves algorithm accuracy, enriches the platform's algorithm library, expands the spatial analysis capabilities of the spatio-temporal big data engine, supports a variety of natural resource application scenarios, and realizes image land type extraction and target recognition based on the integration of large models and spatial technologies.