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基于国土调查管理平台的碎小栅格照片存储技术优化

胡国超 梁永刚 刘建华 程立君 罗京

北京测绘2025,Vol.39Issue(4):418-422,5.
北京测绘2025,Vol.39Issue(4):418-422,5.DOI:10.19580/j.cnki.1007-3000.2025.04.003

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

胡国超 1梁永刚 1刘建华 1程立君 2罗京2

作者信息

  • 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
  • 折叠

摘要

Abstract

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 high-concurrency conditions.It provides a reference for the storage applications of fragmented small grid photos in provincial-level 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

Key words

land survey/fragmented small grid/storage technology/similarity detection

分类

天文与地球科学

引用本文复制引用

胡国超,梁永刚,刘建华,程立君,罗京..基于国土调查管理平台的碎小栅格照片存储技术优化[J].北京测绘,2025,39(4):418-422,5.

基金项目

江西省自然资源厅科技创新项目(ZRKJ20232313) (ZRKJ20232313)

北京测绘

1007-3000

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