基于国土调查管理平台的碎小栅格照片存储技术优化  

Storage optimization technology of fragmented small grid photos based on land survey management platform

作　　者：胡国超 梁永刚 刘建华 程立君 罗京 HU Guochao;LIANG Yonggang;LIU Jianhua;CHENG Lijun;LUO Jing(Jiangxi Institute of Territorial Spatial Survey and Planning,Nanchang,Jiangxi 330025,China;Beijing Century GrandTech Technology Company Limited,Beijing 100035,China)

机构地区：[1]江西省国土空间调查规划研究院,江西南昌330025 [2]北京世纪国源科技股份有限公司,北京100035

出　　处：《北京测绘》2025年第4期418-422,共5页Beijing Surveying and Mapping

基　　金：江西省自然资源厅科技创新项目(ZRKJ20232313)。

摘　　要：针对海量国土调查举证照片占用空间大、检索速度慢等问题,本文提出了碎小栅格照片的存储优化技术,基于开源软件米尼奥(MinIO)对象存储数据库,内嵌感知哈希算法(pHash)模型,实现图片相似度检测并去重上传,满足高并发情况下的快速检索响应要求,为省级国土调查管理平台及其他平台复杂场景下的碎小栅格照片存储应用提供参考。In response to the issues of large space occupancy and slow retrieval speed of massive land survey photos,this paper proposed a storage optimization technology for fragmented small grid photos.Based on the open-source MinIO object storage database and incorporating the perceptual hash algorithm(pHash) model,the method implemented image similarity detection and deduplication during upload.This solution meets the requirement for fast retrieval responses under highconcurrency conditions.It provides a reference for the storage applications of fragmented small grid photos in provinciallevel land survey management platforms and other platforms in complex scenarios.

关 键 词：国土调查 碎小栅格 存储技术 相似度检测 

分 类 号：P208[天文地球—地图制图学与地理信息工程]