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
Technology system for product validation and algorithm test of GF common products and an application example
- 2023年27卷第3期 页码：780-789
纸质出版日期： 2023-03-07
DOI： 10.11834/jrs.20221716
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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
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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
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中国林业科学院资源信息研究所
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西南大学 地理科学学院 重庆金佛山喀斯特生态系统国家野外科学观测研究站
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