高分卫星数据应用产品分级与共性产品体系构建研究
Research on classification of GF satellite data application products and construction of common product system
- 2023年27卷第3期 页码：563-572
纸质出版日期： 2023-03-07
DOI： 10.11834/jrs.20232593
扫 描 看 全 文
浏览全部资源
扫码关注微信
摘要
高分辨率对地观测系统重大专项（以下简称“高分专项”）部署建设国家真实性检验系统，目的是形成对高分共性产品进行真实性检验的能力，打造共性产品批量化生产能力，整体提高中国的高分遥感定量化应用水平。此项工作中，如何界定共性产品、共性产品之间及其与专题产品之间存在哪些生成关系是首要解决的问题。围绕这些问题，本文提出了高分专项国家真实性检验系统的总体架构，定义了高分共性产品的范畴及分级方法，探讨了共性产品体系的构建流程，以农业和交通为例，分析推导了行业专题产品生产中对共性产品的需求，进一步地，以产品树的形式推导了共性产品之间的衍生关系，明确了真实性检验系统的检验对象和应着力攻关的产品目录，对于该系统的实施具有重要的指导意义。
Abstract
The major special deployment of the High Resolution Earth observation system is to build a national validation system for common products. The purpose is to form the ability to verify the authenticity of high resolution common products
build the mass production capacity of common products
and improve the overall level of quantitative application of high resolution remote sensing in China. Therefore
how to define common products
what are common products
what are the generating relationships between common products
and between common products and thematic products is a problem that must be solved first. Focusing on these problems
this paper proposes the overall architecture of the national authenticity inspection system for high resolution special projects
that is
the bottom layer is the authenticity inspection station network observation subsystem
building a authenticity inspection station network composed of 42 stations
obtaining the actual authenticity inspection data through sensors
unmanned aerial vehicles and manual measurement
and collecting them in the system database of the middle layer in real time. The middle layer is a subsystem of authenticity inspection and finalization of common products
with integrated data management and sharing
authenticity inspection station network management
authenticity inspection of common products
algorithm model integration testing and finalization of common products and other functions. The top layer is the national remote sensing data and application service platform
which is the portal for authenticity testing. This paper defines the category and grading method of high resolution common products
that is
the standard products are divided into 0—2 levels
which refer to the original image data generated by the special ground system for high resolution
or the image data after system geometric correction and/or radiometric correction; Common products are divided into 3 to 5 levels
which refers to the data obtained by the high resolution special application system using quantitative remote sensing feature parameter inversion method based on standard products as the production input of at least two industry specific products; Thematic products are classified into 6—7 levels
which refer to the data supporting the business application of the industry and department obtained by professional users using quantitative remote sensing characteristic parameter inversion method or multi-source data superposition analysis method based on standard products or generic products. The paper discusses the construction process of the generic product system. Taking agriculture and transportation as examples
it analyzes and deduces the demand for generic products in the production of industry specific products. Furthermore
it deduces the derivative relationship between generic products in the form of product tree
and clarifies the inspection object of the authenticity inspection system and the product catalog that should be focused on
which has important guiding significance for the implementation of the system. After the completion and operation of the national authenticity inspection system
in a sense
it will become a “challenge arena” for common product algorithms. Any algorithm that has been proved to be better through algorithm evaluation will be integrated into the system to replace the original algorithm. These algorithms will also further update the generation process of existing common products iteratively
which will promote each other.
关键词
高分卫星共性产品专题产品产品体系产品分级真实性检验系统
Keywords
GF satellitecommon productthematic productproduct systemproduct classificationauthenticity inspection system
references
Gong T T, Zhang Y L,Fu Y H and Zhao Z F. 2020. Application of high resolution remote sensing technology in highway survey. Information Systems Engineering, 33 (6): 75-76
龚婷婷, 张蕴灵, 傅宇浩, 赵政帆. 2020. 浅谈高分遥感技术在公路勘察阶段的应用. 信息系统工程, 33(6): 75-76
Ji F H, Liu J and Wang L M. 2021. Summary of remote sensing algorithm in crop type identification and its application based on Gaofen satellites. Chinese Journal of Agricultural Resources and Regional Planning, 42(7): 254-268
季富华, 刘佳, 王利民. 2021. 农作物类型遥感识别算法及国产高分卫星应用示例. 中国农业资源与区划, 42(7): 254-268 [DOI: 10.7621/cjarrp.1005-9121.20210728http://dx.doi.org/10.7621/cjarrp.1005-9121.20210728]
Liang S L. 2021. Some thoughts on the development of quantitative remote sensing in China. Journal of Remote Sensing, 25(9): 1889-1895
梁顺林. 2021. 中国定量遥感发展的一些思考. 遥感学报, 25(9): 1889-1895 [DOI: 10.11834/jrs.20211516http://dx.doi.org/10.11834/jrs.20211516]
Liu J, Wang L M, Teng F, Yao B M, Yang F G, Ji F H and Li D D. 2020. Typical application of GF-6 satellite in remote sensing monitoring of agricultural resources. Satellite Application, (12): 18-25
刘佳, 王利民, 滕飞, 姚保民, 杨福刚, 季富华, 李丹丹. 2020. 高分六号卫星在农业资源遥感监测中的典型应用. 卫星应用, (12): 18-25 [DOI: 10.3969/j.issn.1674-9030.2020.12.007http://dx.doi.org/10.3969/j.issn.1674-9030.2020.12.007]
Liu Q H, Yan G J, Jiao Z T, Xiao Q, Wen J G, Liang S L and Wang J D. 2019. Geometric-optical remote sensing modeling to quantitative remote sensing theory and methodology development: in memory of academician Li Xiaowen. Journal of Remote Sensing, 23(1): 1-10
柳钦火, 阎广建, 焦子锑, 肖青, 闻建光, 梁顺林, 王锦地. 2019. 发展几何光学遥感建模理论, 推动定量遥感科学前行——深切缅怀李小文院士. 遥感学报, 23(1): 1-10 [DOI: 10.11834/jrs.20198077http://dx.doi.org/10.11834/jrs.20198077]
Major Special Engineering Center of National Defense Bureau of Science and Industry. 2018. China Satellite Application Report of High-Resolution Earth Observation System (Common Product Volume). Beijing: China National Space Administration (国防科工局重大专项工程中心. 2018. 2018中国高分卫星应用国家报告(共性产品卷). 北京: 国家航天局)
State Administration for Market Regulation, Standardization Administration of the People’s Republic of China. 2019. GB/T 38026-2019. Gradation standard for multispectral data products of remote sensing satellite. 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 .2019. GB/T 38026-2019. 遥感卫星多光谱数据产品分级. 北京: 中国标准出版社
State Administration for Market Regulation, 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. GGB/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, Standardization Administration of the People’s Republic of China. 2022. GB/T 41540-2022. Selection and arrangement of the surface observation field for the validation of terrestrial 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. 2022. GB/T 41540-2022. 陆地遥感产品真实性检验地面观测场的选 址和布设. 北京: 中国标准出版社
State Administration of Science, Technology and Industry for National Defence, PRC and China National Space Administration. 2017. China Satellite Application Report of High-Resolution Earth Observation System (Industry Volume). Beijing: China National Space Administration (国防科工局, 国家航天局. 2017. 2017中国高分卫星应用国家报告. 北京: 国家航天局)
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]
Wang J N, Gu X F, Ming T and Zhou X. 2013. Classification and gradation rule for remote sensing satellite data products. Journal of Remote Sensing, 17(3): 566-577
王晋年, 顾行发, 明涛, 周翔. 2013. 遥感卫星数据产品分类分级规则研究. 遥感学报, 17(3): 566-577 [DOI: 10.11834/jrs.20131364http://dx.doi.org/10.11834/jrs.20131364]
Wang L M, Liu J and Ji F H. 2021. Status quo and development trend of agriculture remote sensing technology application in China. Chinese Agricultural Science Bulletin, 37(25): 138-143
王利民, 刘佳, 季富华. 2021. 中国农业遥感技术应用现状及发展趋势. 中国农学通报, 37(25): 138-143 [DOI: 10.11924/j.issn.1000-6850.casb20190700361http://dx.doi.org/10.11924/j.issn.1000-6850.casb20190700361]
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 test of 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.20221716http://dx.doi.org/10.11834/jrs.20221716]
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]
Zhao W B, Liao C J and Shangguan S. 2018. Research on innovation of high resolution satellite application model and its practice in the field of transportation. China Highway, 25(7): 64-66
赵文波, 廖楚江, 上官甦. 2018. 高分卫星应用模式创新研究及在交通领域的实践. 中国公路, 25(7): 64-66 [DOI: 10.13468/j.cnki.chw.2018.07.019http://dx.doi.org/10.13468/j.cnki.chw.2018.07.019]
文章被引用时，请邮件提醒。
提交
相关作者
暂无数据
相关机构
中国科学院大学 资源与环境学院
兰州大学 资源环境学院
浙江师范大学 地理与环境科学学院
中国科学院空天信息创新研究院 遥感科学国家重点实验室
国家国防科技工业局对地观测与数据中心
选择翻译语言
- 地址：北京市海淀区北四环西路19号 《遥感学报》编辑部 邮编：100190
- 联系电话：010-58887052 Email：nrsb@aircas.ac.cn
- 技术支持由北京北大方正电子有限公司提供 京ICP备20021838号-9
京公网安备11010802024621 - 本系统建议在Chrome、 IE9+ 以上版本浏览器阅读本站内容，360浏览器请切换至极速模式
- Cookies帮助我们提供服务并提供个性化体验。使用本网站，即表示您同意我们使用Cookies
0
回到顶部