LuoJiaAI:A cloud-based artificial intelligence platform for remote sensing image interpretation

作     者：Zhan Zhang Mi Zhang Jianya Gong Xiangyun Hu Hanjiang Xiong Huan Zhou Zhipeng Cao Zhan Zhang;Mi Zhang;Jianya Gong;Xiangyun Hu;Hanjiang Xiong;Huan Zhou;Zhipeng Cao

作者机构：State Key Laboratory of Information Engineering in SurveyingMapping and Remote SensingWuhan UniversityWuhanChina School of Remote Sensing and Information EngineeringWuhan UniversityWuhanChina Department of Land-Surveying and Geo-InformaticsHong Kong Polytechnic UniversityHong KongChina 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2023年第26卷第2期

页      面：218-241页

核心收录：

学科分类：0810[工学-信息与通信工程] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 081002[工学-信号与信息处理] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the Chinese National Natural Science Foundation Projects[grant number 41901265] Major Program of the National Natural Science Foundation of China[grant number 92038301] supported in part by the Special Fund of Hubei Luojia Laboratory[grant number 220100028] 

主　　题：Artificial intelligence cloud computing platform remote-sensing intelligent interpretation sample database deep learning framework 

摘      要：The rapid processing,analysis,and mining of remote-sensing big data based on intelligent interpretation technology using remote-sensing cloud computing platforms(RS-CCPs)have recently become a new *** existing RS-CCPs mainly focus on developing and optimizing high-performance data storage and intelligent computing for common visual representation,which ignores remote sensing data characteristics such as large image size,large-scale change,multiple data channels,and geographic knowledge embedding,thus impairing computational efficiency and *** construct a LuoJiaAI platform composed of a standard large-scale sample database(LuoJiaSET)and a dedicated deep learning framework(LuoJiaNET)to achieve state-of-the-art performance on five typical remote sensing interpretation tasks,including scene classification,object detection,land-use classification,change detection,and multi-view 3D *** details of the LuoJiaAI application experiment can be found at the white paper for LuoJiaAI industrial *** addition,LuoJiaAI is an open-source RS-CCP that supports the latest Open Geospatial Consortium(OGC)standards for better developing and sharing Earth Artificial Intelligence(AI)algorithms and products on benchmark *** narrows the gap between the sample database and deep learning frameworks through a user-friendly data-framework collaboration mechanism,showing great potential in high-precision remote sensing mapping applications.