基于遥感大数据的信息提取技术综述

doi:10.11959/j.issn.2096-0271.2022014

大数据 ›› 2022, Vol. 8 ›› Issue (2): 28-57.doi: 10.11959/j.issn.2096-0271.2022014

基于遥感大数据的信息提取技术综述

刘伟权¹^,², 王程¹^,², 臧彧¹^,², 胡倩¹^,², 于尚书¹^,², 赖柏锜¹^,²

¹ 厦门大学信息学院，福建厦门 361005
² 福建省智慧城市感知与计算重点实验室，福建厦门 361005

出版日期:2022-03-15 发布日期:2022-03-01
作者简介:刘伟权（1990- ），男，博士，厦门大学信息学院博士后、特任副研究员，主要研究方向为三维视觉、空间数据科学、增强现实、遥感数据处理
王程（1975- ），男，博士，厦门大学信息学院教授、博士生导师，主要研究方向为三维视觉、空间大数据分析、激光雷达、虚拟/增强现实、遥感数据处理
臧彧（1985- ），男，博士，厦门大学信息学院副教授，主要研究方向为空间感知与智能计算、三维视觉、人工智能、遥感数据处理
胡倩（1997- ），女，厦门大学信息学院硕士生，主要研究方向为三维视觉
于尚书（1993- ），男，厦门大学信息学院博士生，主要研究方向为三维视觉
赖柏锜（1997- ），男，厦门大学信息学院硕士生，主要研究方向为三维视觉
基金资助:
国家自然科学基金资助项目(61971363);国家自然科学基金资助项目(U1605254);中国博士后科学基金资助项目(2021M690094)

A survey on information extraction technology based on remote sensing big data

Weiquan LIU¹^,², Cheng WANG¹^,², Yu ZANG¹^,², Qian HU¹^,², Shangshu YU¹^,², Baiqi LAI¹^,²

¹ School of Informatics, Xiamen University, Xiamen 361005, China
² Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen 361005, China

Online:2022-03-15 Published:2022-03-01
Supported by:
The National Natural Science Foundation of China(61971363);The National Natural Science Foundation of China(U1605254);China Postdoctoral Science Foundation(2021M690094)

摘要/Abstract

摘要：

随着遥感技术的快速发展，我国已建立了比较完善的航天遥感和灵活多样的航空遥感数据获取体系。遥感大数据以海量遥感数据为主，综合了其他多源遥感数据，并运用大数据思维与手段，发掘海量数据中的知识规律和高价值信息。回顾了近年来基于遥感大数据的信息提取技术研究工作，从遥感目标检测、遥感地物分割、遥感变化检测三方面阐述了遥感信息提取技术的发展历程，对各个发展阶段及代表性方法进行了梳理与归纳，并对基于遥感大数据的信息提取技术进行了展望。

关键词: 遥感大数据, 目标识别, 地物分割, 变化检测

Abstract:

With the rapid development of remote sensing technology, our country has established a relatively complete space remote sensing and flexible and diverse aerial remote sensing data acquisition system.Remote sensing big data is mainly based on massive remote sensing data, integrating other multi-source remote sensing data, using big data thinking and methods, and discovering knowledge laws and high-value information in massive data.Firstly, the research work of information extraction technology based on remote sensing big data was reviewed in recent years.Secondly, the development history of remote sensing information extraction technology was expounded from three aspects: remote sensing target detection, remote sensing surface object segmentation, and remote sensing change detection.Finally, the information extraction technology based on remote sensing big data was sorted out, summarized and prospected.

Key words: remote sensing big data, object detection, ground object segmentation, change detection

中图分类号:

TP75

刘伟权, 王程, 臧彧, 胡倩, 于尚书, 赖柏锜. 基于遥感大数据的信息提取技术综述[J]. 大数据, 2022, 8(2): 28-57.

Weiquan LIU, Cheng WANG, Yu ZANG, Qian HU, Shangshu YU, Baiqi LAI. A survey on information extraction technology based on remote sensing big data[J]. Big Data Research, 2022, 8(2): 28-57.

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应用领域	具体方向	应用实例
军事	核试验场检测	参考文献[82]
	军事打击效果评估	参考文献[82]
农业	作物长势检测	参考文献[83]
	作物估产	参考文献[84]
环境	植被变化监测	参考文献[85]
	湿地变化检测	参考文献[86]
灾害监测和评估	森林火灾	参考文献[87]
	旱灾、洪涝、火灾	参考文献[88-89]
	地震监测	参考文献[90]
城市规划	土地利用、土地覆盖	参考文献[91]
	地形图更新	参考文献[92]
	建筑物变化检测	参考文献[10,93-94]

基于遥感大数据的信息提取技术综述

A survey on information extraction technology based on remote sensing big data

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