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。
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.
作者
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
WEN Jianguang;XIAO Qing;ZHONG Shouyi;TANG Yong;CHEN Xi;WEI Qiufang;WU Xiaodan;LIN Xingwen;OUYANG Xiaoying;YOU Dongqin;LIU Qinhuo(State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academic of Sciences,Beijing 100101,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China;College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China;College of Geography and Environmental Sciences,Zhejiang Normal University,Jinhua 321004,China)
出处
《遥感学报》
EI
CSCD
北大核心
2023年第3期780-789,共10页
NATIONAL REMOTE SENSING BULLETIN
基金
高分辨率对地观测系统重大专项(编号:21-Y20B01-9001-19/22,21-Y20B02-9003-19/22)。
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
remote sensing
GF satellite
common product
algorithm test
product validation
land surface albedo
