基于遥感数据挖掘的智能地理信息系统设计与实现
Design and Implementation of Intelligent Geographic Information System Based on Remote Sensing Data Mining
吕晨雨1
作者信息
- 1. 四川师范大学地理与资源科学学院,四川成都 610101
- 折叠
摘要
设计并实现了一种基于遥感数据挖掘的智能地理信息系统(GIS),旨在实现海量遥感数据的处理与分析.该系统包含遥感影像语义分割和时空轨迹模式挖掘 2 大核心技术.遥感影像语义分割采用了改进的卷积神经网络模型,实现了高精度的建筑物、道路等地理要素提取.时空轨迹模式挖掘采用了谱聚类算法,高效发掘轨迹数据中的移动模式与关键位置.系统集成了遥感影像处理、时空数据挖掘、地理信息可视化与分析等功能模块,实现了智能化的地理信息服务.
Abstract
This paper have designed and implemented an intelligent geographic information system(GIS)based on remote sensing data mining,aiming to process and analyze massive remote sensing data.This system includes two core technologies:Semantic segmentation of remote sensing images and spatiotemporal trajectory pattern mining.The semantic segmentation of remote sensing images adopts an improved convolutional neural network model,achieving high-precision extraction of geographic features such as buildings and roads.The spatiotemporal trajectory pattern mining adopts spectral clustering algorithm to efficiently discover movement patterns and key positions in trajectory data.The system integrates functional modules such as remote sensing image processing,spatiotemporal data mining,geographic information visualization and analysis,and achieves intelligent geographic information services.
关键词
遥感数据挖掘/地理信息系统/语义分割Key words
remote sensing data mining/GIS/semantic segmentation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据