自然资源影像智能解译系统的设计与实现

Design and Implementation of Natural Resource Image Intelligent Interpretation System

使用传统方法人工从自然资源影像中提取兴趣地物,存在解译速度慢、人工成本高、项目周期长等问题,难以支撑爆发式增长的工作需求。为此,基于近年兴起的人工智能技术结合成熟的GIS平台,开发了一套地物智能识别系统,提供AI样本制作、AI模型开发、AI模型解译等功能,便于管理AI模型生产过程中的各类模型和数据,提高了AI模型开发与影像解译的工作效率、节约了生产成本。

Using traditional manual methods to extract the interest features from natural resource image results in issues such as slow identification speed,high labor costs,and long project cycles,making it difficult to support the surging demands of explosive growth in tasks.Therefore,based on the recent advancements in artificial intelligence technology along with mature GIS platforms,an intelligent feature recognition system has been developed.This system provides functions including AI sample generation,AI model development,and AI model interpretation,etc.It facilitates the management of various models and data htroughout the AI model production process,ultimately enhancing the efficiency of AI model development and image interpretation while also saving on production costs.