摘要
依靠GPU等硬件发展,人工智能技术利用大数据、云计算和互联网技术开启第五次工业革命[1]的序幕。作为人工智能的代表,深度学习技术以其强大的模式识别和数据分析能力,广泛用于图像识别、语音识别、自然语言处理等领域,更是引发遥感领域的行业变革[2]。文章通过对遥感产品传统生产模式和智能化生产模式进行对比分析,研究得出不同模式下的产品生产流程,并在分析细化各阶段岗位职责的基础上,重点研究各岗位等级对应的工作内容和技能要求。同时,提出智能化生产模式下人员能力转型的需求以及相应的培养方式,为构建适应遥感智能化生产模式转型升级发展所需的专业队伍提供有益的参考。
Relying on the development of hardware like GPUs,artificial intelligence(AI)technology has ushered in the prelude to the fifth industrial revolution[1]by leveraging big data,cloud computing,and internet technology.As a representative of AI,deep learning technology,with its powerful pattern recognition and data analysis capabilities,has been widely applied in areas such as image recognition,speech recognition,and natural language processing,sparking industry transformation in the field of remote sensing[2].Through a comparative analysis of traditional and intelligent production modes for remote sensing products,this paper studies the production processes under different modes.Based on a detailed analysis of job responsibilities at each stage,it focuses on the work content and skill requirements corresponding to different job levels.Furthermore,it proposes the transformation needs and talent development approaches for personnel capabilities in the intelligent production mode.Furthermore,this paper also proposes the requirements for personnel capability transformation under the intelligent production mode,as well as corresponding training methods,providing valuable references for building a professional team that adapts to the transformation and upgrading of the remote sensing intelligent production mode.
作者
牛泽璇
官恺
白文浩
张硕
Niu Zexuan;Guan Kai;Bai Wenhao;Zhang Shuo(61363 Troops,Xi'an 710000,China)
出处
《办公自动化》
2024年第19期93-96,共4页
Office Informatization
关键词
人工智能
深度学习
遥感产品
智能化生产模式
AI
deep learning
remote sensing products
intelligent production mode
