{"title":"从多个观测点组织视图的框架:启用双向景观可见性信息查询","authors":"Runzi Chen;Renjie Li;Pengcheng Deng;Baolei Sun","doi":"10.1109/JSTARS.2025.3602482","DOIUrl":null,"url":null,"abstract":"Viewshed analysis holds significant value in landscape assessment and management. However, current research faces dual limitations: inefficient organization of viewsheds from multiple observation points and inability to analyze bidirectional visibility relationships between multiple observation points and ground cells. This study develops a 3-D tensor (observation point–row–column) that integrates detailed visibility relationships between landscape units and ground cells and proposes a framework for organizing viewsheds from multiple observation points that supports bidirectional queries. The framework implements a three-stage optimization strategy: 1) decimal encoding of observation point dimension data, 2) a mapping mechanism from ground cells to observation point sets, and 3) run-length encoding-based organization of mapping data. Experimental results demonstrate that when using ASCII storage format, the framework achieves a 98% storage space reduction compared to conventional viewshed matrix methods while maintaining comparable query efficiency, with storage requirements similar to those of NetCDF format. Moreover, with 7-Zip compression, the framework achieves further space savings: a 40% reduction relative to viewshed matrix methods and a 70% reduction compared to NetCDF format. This research not only enriches the theory of multiple-observation-point viewshed analysis but also provides technical reference for geographic information product development, offering important application value for landscape conservation and planning.","PeriodicalId":13116,"journal":{"name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","volume":"18 ","pages":"22392-22402"},"PeriodicalIF":5.3000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11139115","citationCount":"0","resultStr":"{\"title\":\"Framework for Organizing Viewsheds From Multiple Observation Points: Enabling Bidirectional Landscape Visibility Information Queries\",\"authors\":\"Runzi Chen;Renjie Li;Pengcheng Deng;Baolei Sun\",\"doi\":\"10.1109/JSTARS.2025.3602482\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Viewshed analysis holds significant value in landscape assessment and management. However, current research faces dual limitations: inefficient organization of viewsheds from multiple observation points and inability to analyze bidirectional visibility relationships between multiple observation points and ground cells. This study develops a 3-D tensor (observation point–row–column) that integrates detailed visibility relationships between landscape units and ground cells and proposes a framework for organizing viewsheds from multiple observation points that supports bidirectional queries. The framework implements a three-stage optimization strategy: 1) decimal encoding of observation point dimension data, 2) a mapping mechanism from ground cells to observation point sets, and 3) run-length encoding-based organization of mapping data. Experimental results demonstrate that when using ASCII storage format, the framework achieves a 98% storage space reduction compared to conventional viewshed matrix methods while maintaining comparable query efficiency, with storage requirements similar to those of NetCDF format. Moreover, with 7-Zip compression, the framework achieves further space savings: a 40% reduction relative to viewshed matrix methods and a 70% reduction compared to NetCDF format. This research not only enriches the theory of multiple-observation-point viewshed analysis but also provides technical reference for geographic information product development, offering important application value for landscape conservation and planning.\",\"PeriodicalId\":13116,\"journal\":{\"name\":\"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing\",\"volume\":\"18 \",\"pages\":\"22392-22402\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11139115\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11139115/\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11139115/","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Framework for Organizing Viewsheds From Multiple Observation Points: Enabling Bidirectional Landscape Visibility Information Queries
Viewshed analysis holds significant value in landscape assessment and management. However, current research faces dual limitations: inefficient organization of viewsheds from multiple observation points and inability to analyze bidirectional visibility relationships between multiple observation points and ground cells. This study develops a 3-D tensor (observation point–row–column) that integrates detailed visibility relationships between landscape units and ground cells and proposes a framework for organizing viewsheds from multiple observation points that supports bidirectional queries. The framework implements a three-stage optimization strategy: 1) decimal encoding of observation point dimension data, 2) a mapping mechanism from ground cells to observation point sets, and 3) run-length encoding-based organization of mapping data. Experimental results demonstrate that when using ASCII storage format, the framework achieves a 98% storage space reduction compared to conventional viewshed matrix methods while maintaining comparable query efficiency, with storage requirements similar to those of NetCDF format. Moreover, with 7-Zip compression, the framework achieves further space savings: a 40% reduction relative to viewshed matrix methods and a 70% reduction compared to NetCDF format. This research not only enriches the theory of multiple-observation-point viewshed analysis but also provides technical reference for geographic information product development, offering important application value for landscape conservation and planning.
期刊介绍:
The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.