Technology system for product validation and algorithm test<sup> </sup>of GF common products and an application example

WEN Jianguang; XIAO Qing; ZHONG Shouyi; TANG Yong; CHEN Xi; WEI Qiufang; WU Xiaodan; LIN Xingwen; OUYANG Xiaoying; YOU Dongqin; LIU Qinhuo

doi:10.11834/jrs.20221716

Algorithm Test And Products Validation | Views : 0 下载量: 368 CSCD: 4 更多指标

R-PDF
PDF
Export
Share
Collection
Album

Technology system for product validation and algorithm testof GF common products and an application example
Vol. 27, Issue 3, Pages: 780-789(2023)
Published： 07 March 2023 ，
DOI： 10.11834/jrs.20221716

扫描看全文

闻建光，肖青，钟守熠，唐勇，陈曦，魏秋方，吴小丹，林兴稳，欧阳晓莹，游冬琴，柳钦火.2023.高分遥感共性产品算法测评与真实性检验技术体系及应用实例.遥感学报，27（3）： 780-789

Wen J G，Xiao Q，Zhong S Y，Tang Y，Chen X，Wei Q F，Wu X D，Lin X W，Ouyang X Y，You D Q and Liu Q H. 2023. Technology system for product validation and algorithm testof GF common products and an application example. National Remote Sensing Bulletin， 27（3）：780-789
闻建光，肖青，钟守熠，唐勇，陈曦，魏秋方，吴小丹，林兴稳，欧阳晓莹，游冬琴，柳钦火.2023.高分遥感共性产品算法测评与真实性检验技术体系及应用实例.遥感学报，27（3）： 780-789 DOI： 10.11834/jrs.20221716.

Wen J G，Xiao Q，Zhong S Y，Tang Y，Chen X，Wei Q F，Wu X D，Lin X W，Ouyang X Y，You D Q and Liu Q H. 2023. Technology system for product validation and algorithm testof GF common products and an application example. National Remote Sensing Bulletin， 27（3）：780-789 DOI： 10.11834/jrs.20221716.

摘要

随着中国高分辨率对地观测系统的发展，已经形成了高分标准产品、共性产品和专题产品多层应用服务体系，其中高分共性产品是衔接高分标准产品和专题产品间的桥梁。然而高分共性产品由算法发展而来，不可避免存在着误差，为后续遥感应用带来较大的不确定性。因此，论文提出了高分共性产品算法需测评，高分共性产品需真实性检验的高分共性产品生产过程中的两端质量保障方法体系。论文阐明了算法测评与真实性检验的内涵，以及算法测评和真实性检验方法体系，介绍了高分专项开展的高分共性产品真实性检验与算法测评系统平台，并以地表反照率高分共性产品算法测评为例，展示了算法测评的可行性。论文研究成果可为中国高分共性产品真实性检验和算法测评工作的开展提供重要支持。

Abstract

Given the development of China’s high-resolution earth observation system (referred to as GF)

common products

standard products

and specific products play an important role in remote sensing applications of GF data. In particular

the common products promote remote sensing applications as the bridge between the GF standard products and specific products. However

GF common products are derived by retrieval algorithms. Inevitable errors bring great uncertainty to the followed-up remote sensing applications. Thus

the retrieval algorithms of GF common products should be tested. Moreover

the products should be validated to ensure the quality of GF common products.

This study expounds on the relationship between the algorithm test and product validation and that between the test and validation technology system. Algorithm test and product validation are at the two ends of a common product-generating process. A complete algorithm test process of common products mainly includes the establishment of the algorithm test index system

the construction of the index calculation method

the preparation of the test dataset

the algorithm running and index calculation

and finally

the writing of the algorithm test report. All the generated common products should be validated using the referenced truth data through suitable methods. Thus

a service platform of GF common product validation and algorithm test is implemented to achieve these two functions.

The test index system of the GF common product algorithm is constructed with four primary indexes and 10 secondary indexes through literature research

expert consultation

and questionnaire investigation. For example

the land surface albedo retrieval algorithm is tested to show the feasibility of the algorithm test in the service platform. The results show that it can support the validation and algorithm test of Gaofen common products in China.

Algorithm test and the product validation technology system and its service platform are important for quality control in the generating of GF common products. The validation and algorithm test of GF common products is a systematic project that requires the cooperation of multiple communities to collect the sample data and reference data through continuous field observation. This field observation is an important foundation of validation and algorithm tests for common products.

关键词

遥感高分卫星共性产品算法测评真实性检验地表反照率

Keywords

remote sensingGF satellitecommon productalgorithm testproduct validationland surface albedo

references

Lin X W, Wen J G, Tang Y, Ma M G, You D Q, Dou B C, Wu X D, Zhu X B, Xiao Q and Liu Q H. 2018b. A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product. International Journal of Digital Earth, 11(3): 308-328 [DOI: 10.1080/17538947.2017.1320593http://dx.doi.org/10.1080/17538947.2017.1320593]

Morisette J T, Baret F, Privette J L, Myneni R B, Nickeson J E, Garrigues S, Shabanov N V, Weiss M, Fernandes R A, Leblanc S G, Kalacska M, Sanchez-Azofeifa G A, Chubey M, Rivard B, Stenberg P, Rautiainen M, Voipio P, Manninen T, Pilant A N, Lewis T E, Iiames J S, Colombo R, Meroni M, Busetto L, Cohen W B, Turner D P, Warner E D, Petersen G W, Seufert G and Cook R. 2006. Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup. IEEE Transactions on Geoscience and Remote Sensing, 44(7): 1804-1817 [DOI: 10.1109/TGRS.2006.872529http://dx.doi.org/10.1109/TGRS.2006.872529]

Saaty T L. 1978. Modeling unstructured decision problems-THE theory of analytical hierarchies. Mathematics and Computers in Simulation, 20(3): 147-158 [DOI: 10.1016/0378-4754(78)90064-2http://dx.doi.org/10.1016/0378-4754(78)90064-2]

State Administration for Market Regulation and Standardization Administration of the People’s Republic of China. 2018. GB/T 36296-2018 Guide for the validation of remote sensing products. Beijing: Standards Press of China

国家市场监督管理总局, 国家标准化管理委员会. 2018. GB/T 36296-2018 遥感产品真实性检验导则. 北京: 中国标准出版社

State Administration for Market Regulation and Standardization Administration of the People’s Republic of China. 2020. GB/T 39468-2020 General methods for the validation of terrestrial quantitative remote sensing products. Beijing: Standards Press of China

国家市场监督管理总局, 国家标准化管理委员会. 2020. GB/T 39468-2020. 陆地定量遥感产品真实性检验通用方法. 北京: 中国标准出版社

State Administration for Market Regulation and Standardization Administration of the People’s Republic of China. 2021. GB/T 40038-2021 Validation of vegetation index remote sensing products. Beijing: Standards Press of China

国家市场监督管理总局, 国家标准化管理委员会. 2021. GB/T 40038-2021 植被指数遥感产品真实性检验. 北京: 中国标准出版社

Tong X D. 2016. Development of China high-resolution earth observation system. Journal of Remote Sensing, 20(5): 775-780

童旭东. 2016. 中国高分辨率对地观测系统重大专项建设进展. 遥感学报, 20(5): 775-780 [DOI: 10.11834/jrs.20166302http://dx.doi.org/10.11834/jrs.20166302]

Wu X D, Wen J G, Xiao Q, Li X, Liu Q, Tang Y, Dou B C, Peng J J, You D Q and Li X W. 2015. Advances in validation methods for remote sensing products of land surface parameters. Journal of Remote Sensing, 19(1): 75-92

吴小丹, 闻建光, 肖青, 李新, 刘强, 唐勇, 窦宝成, 彭菁菁, 游冬琴, 李小文. 2015. 关键陆表参数遥感产品真实性检验方法研究进展. 遥感学报, 19(1): 75-92 [DOI: 10.11834/jrs.20154009http://dx.doi.org/10.11834/jrs.20154009]

Wu X D, Wen J G, Xiao Q, Liu Q, Peng J J, Dou B C, Li X H, You D Q, Tang Y and Liu Q H. 2016. Coarse scale in situ albedo observations over heterogeneous snow-free land surfaces and validation strategy: a case of MODIS albedo products preliminary validation over northern China. Remote Sensing of Environment, 184: 25-39 [DOI: 10.1016/j.rse.2016.06.013http://dx.doi.org/10.1016/j.rse.2016.06.013]

Wu X D, Wen J G, Xiao Q and You D Q. 2020. Upscaling of single-site-based measurements for validation of long-term coarse-pixel albedo products. IEEE Transactions on Geoscience and Remote Sensing, 58(5): 3411-3425 [DOI: 10.1109/TGRS.2019.2954879http://dx.doi.org/10.1109/TGRS.2019.2954879]

Wu X D, Wen J G, Xiao Q, You D Q, Wang J P, Ma D J and Lin X W. 2021. A multiscale nested sampling method for representative albedo observations at various pixel scales. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4: 8193-8207 [DOI: 10.1109/JSTARS.2021.3105562http://dx.doi.org/10.1109/JSTARS.2021.3105562]

Wu X D, Xiao Q, Wen J G, Liu Q, Peng J J and Li X W. 2014. Advances in uncertainty analysis for the validation of remote sensing products: take leaf area index for example. Journal of Remote Sensing, 18(5): 1011-1023

吴小丹, 肖青, 闻建光, 刘强, 彭菁菁, 李小文. 2014. 遥感数据产品真实性检验不确定性分析研究进展. 遥感学报, 18(5): 1011-1023 [DOI: 10.11834/jrs.20143332http://dx.doi.org/10.11834/jrs.20143332]

Wu X D, Xiao Q, Wen J G, You D Q and Hueni A. 2019. Advances in quantitative remote sensing product validation: overview and current status. Earth-Science Reviews, 196: 102875 [DOI: 10.1016/j.earscirev.2019.102875http://dx.doi.org/10.1016/j.earscirev.2019.102875]

You D Q, Wen J G, Xiao Q, Liu Q, Liu Q H, Tang Y, Dou B C and Peng J J. 2015. Development of a high resolution BRDF/albedo product by fusing airborne CASI reflectance with MODIS daily reflectance in the oasis area of the Heihe river basin, China. Remote Sensing, 7(6): 6784-6807 [DOI: 10.3390/rs70606784http://dx.doi.org/10.3390/rs70606784]

Zhang R H, Tian J, Li Z L, Su H B and Chen S H. 2010. Principles and methods for the validation of quantitative remote sensing products. Science China Earth Sciences, 53(5): 741-751

张仁华, 田静, 李召良, 苏红波, 陈少辉. 2010. 定量遥感产品真实性检验的基础与方法. 中国科学: 地球科学, 40(2): 211-222

2018 China satellite application report of high-resolution earth observation system(common products). 2018. State administration of science, technology and industry for national defence (2018中国高分卫星应用报告(共性产品卷). 2018. 国家国防科技工业局)

Alert me when the article has been cited

提交

Technique system of remote sensing product generation and validation of GF common products

Research on classification of GF satellite data application products and construction of common product system

Transparent earth-observing： Exploring the new generation of earth observation system

Transferring deep convolutional neural network models for generalization mapping of autumn crops