A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids
With the rapid development of earth observation, satellite navigation, mobile communication, and other technologies, the order of magnitude of the spatial data we acquire and accumulate is increasing, and higher requirements are put forward for the application and storage of spatial data. As a new f...
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doaj-3baaf0eb6a474d10b7ddc235d39804672021-03-24T00:07:22ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-03-011019419410.3390/ijgi10030194A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete GridsYue Ma0Guoqing Li1Xiaochuang Yao2Qianqian Cao3Long Zhao4Shuang Wang5Lianchong Zhang6Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100083, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaWith the rapid development of earth observation, satellite navigation, mobile communication, and other technologies, the order of magnitude of the spatial data we acquire and accumulate is increasing, and higher requirements are put forward for the application and storage of spatial data. As a new form of data management, the global discrete grid can be used for the efficient storage and application of large-scale global spatial data, which is a digital multiresolution georeference model that helps to establish a new model of data association and fusion. It is expected to make up for the shortcomings in the organization, processing, and application of current spatial data. There are different types of grid systems according to the grid division form, including global discrete grids with equal latitude and longitude, global discrete grids with variable latitude and longitude, and global discrete grids based on regular polyhedrons. However, there is no accuracy evaluation index system for remote sensing images expressed on the global discrete grid to solve this problem. This paper is dedicated to finding a suitable way to express remote sensing data on discrete grids, as well as establishing a suitable accuracy evaluation system for modeling remote sensing data based on hexagonal grids to evaluate modeling accuracy. The results show that this accuracy evaluation method can evaluate and analyze remote sensing data based on hexagonal grids from multiple levels, and the comprehensive similarity coefficient of the images before and after conversion is greater than 98%, which further proves the availability of the hexagonal-grid-based remote sensing data of remote sensing images. This evaluation method is generally applicable to all raster remote sensing images based on hexagonal grids, and it can be used to evaluate the availability of hexagonal grid images.https://www.mdpi.com/2220-9964/10/3/194remote sensingglobal discrete gridaccuracy evaluationhexagonal grid |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yue Ma Guoqing Li Xiaochuang Yao Qianqian Cao Long Zhao Shuang Wang Lianchong Zhang |
spellingShingle |
Yue Ma Guoqing Li Xiaochuang Yao Qianqian Cao Long Zhao Shuang Wang Lianchong Zhang A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids ISPRS International Journal of Geo-Information remote sensing global discrete grid accuracy evaluation hexagonal grid |
author_facet |
Yue Ma Guoqing Li Xiaochuang Yao Qianqian Cao Long Zhao Shuang Wang Lianchong Zhang |
author_sort |
Yue Ma |
title |
A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids |
title_short |
A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids |
title_full |
A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids |
title_fullStr |
A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids |
title_full_unstemmed |
A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids |
title_sort |
precision evaluation index system for remote sensing data sampling based on hexagonal discrete grids |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2021-03-01 |
description |
With the rapid development of earth observation, satellite navigation, mobile communication, and other technologies, the order of magnitude of the spatial data we acquire and accumulate is increasing, and higher requirements are put forward for the application and storage of spatial data. As a new form of data management, the global discrete grid can be used for the efficient storage and application of large-scale global spatial data, which is a digital multiresolution georeference model that helps to establish a new model of data association and fusion. It is expected to make up for the shortcomings in the organization, processing, and application of current spatial data. There are different types of grid systems according to the grid division form, including global discrete grids with equal latitude and longitude, global discrete grids with variable latitude and longitude, and global discrete grids based on regular polyhedrons. However, there is no accuracy evaluation index system for remote sensing images expressed on the global discrete grid to solve this problem. This paper is dedicated to finding a suitable way to express remote sensing data on discrete grids, as well as establishing a suitable accuracy evaluation system for modeling remote sensing data based on hexagonal grids to evaluate modeling accuracy. The results show that this accuracy evaluation method can evaluate and analyze remote sensing data based on hexagonal grids from multiple levels, and the comprehensive similarity coefficient of the images before and after conversion is greater than 98%, which further proves the availability of the hexagonal-grid-based remote sensing data of remote sensing images. This evaluation method is generally applicable to all raster remote sensing images based on hexagonal grids, and it can be used to evaluate the availability of hexagonal grid images. |
topic |
remote sensing global discrete grid accuracy evaluation hexagonal grid |
url |
https://www.mdpi.com/2220-9964/10/3/194 |
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