摘要
随着遥感大数据时代的到来,多传感器、多时相、多分辨率的卫星遥感数据的获取手段和速度超越了以往任何时期,深度学习作为当前最热门的一种机器学习方法推动着人工智能走向各个领域。本文阐述了一种面向变更调查的自动变化检测技术,并在新疆全域开展技术落地应用,深度分析了自动变化检测模型应用效果,通过多轮技术攻关最终实现省域空间的高精度、高效率变化检测。
With the arrival of the era of remote sensing big data,the means and speed of acquiring satellite remote sensing data with multi-sensor,multi temporal and multi-resolution have exceeded any previous period.As the most popular machine learning method at present,deep learning has promoted artificial intelligence to various fields.This paper describes an automatic change detection technology for change investigation,and carries out the application of the technology in the whole area of Xinjiang,deeply analyzes the application effect of the automatic change detection model,and finally realizes the high-precision and high-efficiency change detection in the provincial space through multiple rounds of technical research.
作者
司马依·麦麦提
SIMA Yi Mamet(The Second Surveying and Mapping Institute of Xinjiang Uygur Autonomous Region,Urumqi 830001,China)
出处
《测绘与空间地理信息》
2023年第8期214-217,共4页
Geomatics & Spatial Information Technology
关键词
自动变化检测
异物同谱
高标准农田
automatic change detection
foreign matter with same spectrum
high-standard farmland
