Assessing the satisfaction evaluation of high-resolution imaging satellite to the nature resource investigation

Ding GUO; Shanshan LI; Zongxin CHEN; Li WANG

doi:10.11834/jrs.20210323

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Assessing the satisfaction evaluation of high-resolution imaging satellite to the nature resource investigation
Vol. 26, Issue 3, Pages: 579-587(2022)
Published： 07 March 2022 ，
DOI： 10.11834/jrs.20210323

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郭丁，李姗姗，陈宗信，王力.2022.高分卫星自然资源调查需求满足度评估.遥感学报，26（3）： 579-587

Guo D，Li S S，Chen Z X and Wang L. 2022. Assessing the satisfaction evaluation of high-resolution imaging satellite to the nature resource investigation. National Remote Sensing Bulletin， 26（3）：579-587
郭丁，李姗姗，陈宗信，王力.2022.高分卫星自然资源调查需求满足度评估.遥感学报，26（3）： 579-587 DOI： 10.11834/jrs.20210323.

Guo D，Li S S，Chen Z X and Wang L. 2022. Assessing the satisfaction evaluation of high-resolution imaging satellite to the nature resource investigation. National Remote Sensing Bulletin， 26（3）：579-587 DOI： 10.11834/jrs.20210323.

摘要

当前高分对地观测数据应用来源众多，且其应用方式各异，如何对需求其进行规范化和结构化的需求综合及聚类，进而开展卫星观测能力对于用户需求的需求满足度进行评估，是当前高分对地观测系统建设及应用的关键。本研究基于层次分析法开展自然资源遥感调查的需求建模与评价研究，以可见光近红外类型的自然资源遥感调查需求为主要研究对象，提取自然资源遥感监测普遍共有的需求指标和参数构建四元需求模型，然后利用层次分析中的凝聚层次算法对自然资源调查需求进行建模后的需求综合，最后利用模糊层次综合法评估高分卫星对自然资源调查的需求满足度。评估结果显示除生物估算、荒漠化监测和承载力计算聚簇的需求外，其余聚簇的需求满足度都为良及以上，需求满足度优良率达到88%。通过评估表明中国高分卫星能较好的满足大部分的自然资源调查需求，但还需要提升在生态评价等领域的对地观测能力。

Abstract

All kinds of data resources and application methods of High-resolution Earth Observation applications lead to many problems. How to integrate and clustering the different demands

and how to evaluate the demand satisfaction is the key to the construction of the High-resolution Earth Observation system.

The present paper study the requirements modeling and evaluation of nature resources investigation using analytic hierarchy process. The demand of nature resources investigation for VNIR are selected as the focus of this study. Firstly

the common demands of nature resources investigation are extracted and then demand model are established using demand for four-element model. Secondly

the condensation level algorithm is used to integrate the nature resources investigation demand for the High-resolution Earth Observation. Thirdly

the demand satisfaction of High-resolution Satellite to the nature resources investigation are evaluated using the fuzzy analytic hierarchy process.

The results show that the demand satisfaction of demand cluster except biomass estimation

desertification monitoring and ecological capacity is greater than 8

and the good ratio of demand satisfaction is 88%.

The High-resolution Earth Observation system can meet the need of most of the nature resource investigation

but the ability of ecological assessment for the High-resolution Earth Observation system should be enhanced.

关键词

高分对地观测自然资源调查需求综合模糊层次分析法需求满足度

Keywords

high-resolution earth observationnature resource investigationrequirement integratefuzzy analytic hierarchy processrequirement satisfaction ratio

references

Fang C, Hu F, Chen X, Zhu Z Y, Liu Y Q and Ye Q. 2019. Advances in application of remote sensing to natural resources. Resources Environment and Engineering, 33(4): 563-569

方臣, 胡飞, 陈曦, 朱正勇, 刘烨青, 叶琴. 2019. 自然资源遥感应用研究进展. 资源环境与工程, 33(4): 563-569 [DOI: 10.16536/j.cnki.issn.1671-1211.2019.04.023http://dx.doi.org/10.16536/j.cnki.issn.1671-1211.2019.04.023]

Gu X F, Zhou X, Zhang S M, et al. 2018. Asia- Oceania GEOSS: A GEO initiative to implement GEOSS for sustainable development in Asia- Oceania[J]. Journal of Remote Sensing, 22(4):658-671

顾行发,周翔,张松梅等. 亚洲大洋洲区域综合地球观测系统计划进展. 遥感学报, 2018,22(4):658-671 [DOI: 10.11834/jrs.20188065http://dx.doi.org/10.11834/jrs.20188065]

Guo R Z, Hu F and Tang X M. 2018. Research on internationalization development strategy of high resolution satellite remote sensing industry. China Soft Science, (11): 1-9

郭仁忠, 胡芬, 唐新明. 2018. 高分辨率卫星遥感产业国际化发展思路研究. 中国软科学, (11): 1-9 [DOI: 10.3969/j.issn.1002-9753.2018.11.001]

Liang G L, Zhou X J and Wang Y Q. 2018. Efficiency evaluation research on ground system of remote sensing satellite based on ADC model. Command Control and Simulation, 40(5): 62-68

梁桂林, 周晓纪, 王亚琼. 2018. 基于ADC模型的遥感卫星地面系统效能评估. 指挥控制与仿真, 40(5): 62-68 [DOI: 10.3969/j.issn.1673-3819.2018.05.013http://dx.doi.org/10.3969/j.issn.1673-3819.2018.05.013]

Liu F. 2017. Research on Evaluation Method for Mission Effectiveness of Remote Sensing Satellite System. Beijing: University of Chinese Academy of Sciences (National Center for Space Sciences, Chinese Academy of Sciences) (刘峰. 2017. 遥感卫星系统任务效能评估方法研究. 北京: 中国科学院大学(中国科学院国家空间科学中心))

Liu J Y, Sun Y T, Xing R Y, Wang H and Li X C. 2019. Effectiveness evaluation of early warning satellite system for multi-missions. Aerospace Shanghai, 36(1): 10-15

刘建业, 孙应统, 邢瑞阳, 王华, 李晓超. 2019. 面向多任务的预警卫星系统效能评估. 上海航天, 36(1): 10-15 [DOI: 10.19328/j.cnki.1006-1630.2019.01.002http://dx.doi.org/10.19328/j.cnki.1006-1630.2019.01.002]

Liu L, Xu Y S and Ma Z X. 2003. A survey to data preprocessing in data mining. Journal of Gansu Sciences, 15(1): 117-119

刘莉, 徐玉生, 马志新. 2003. 数据挖掘中数据预处理技术综述. 甘肃科学学报, 15(1): 117-119 [DOI: 10.3969/j.issn.1004-0366.2003.01.027http://dx.doi.org/10.3969/j.issn.1004-0366.2003.01.027]

Liu L Q, Ding Q L, Zhang T F and Chen J. 2011. Data pretreatment method of fuzzy C-means clustering effects. Electric Power Science and Engineering, 27(8): 24-27, 46

刘丽轻, 丁巧林, 张铁峰, 陈健. 2011. 数据预处理方法对模糊C均值聚类的影响. 电力科学与工程, 27(8): 24-27, 46 [DOI: 10.3969/j.issn.1672-0792.2011.08.006http://dx.doi.org/10.3969/j.issn.1672-0792.2011.08.006]

Ma W Q, Zhang X Q, Cui Q F, Huo G Q. 2014. Study of Multi-User’s Earth Observation Satellite Requirements Integrated Preprocessing Model. Bulletin of Surveying and Mapping. SO: 141-143, 162

马万权, 张学庆, 崔庆丰, 霍国清. 2014. 多用户对地观测需求统筹处理模型研究. 测绘通报. SO: 141-143, 162 [DOI：10.13474/j.cnki.11-2246.2014.0632http://dx.doi.org/10.13474/j.cnki.11-2246.2014.0632]

Mandal B and Mandal S. 2018. Analytical hierarchy process (AHP) based landslide susceptibility mapping of Lish river basin of eastern Darjeeling Himalaya, India. Advances in Space Research, 62(11): 3114-3132 [DOI: 10.1016/j.asr.2018.08.008http://dx.doi.org/10.1016/j.asr.2018.08.008]

Nepal B, Yadav O P and Murat A. 2010. A fuzzy-AHP approach to prioritization of CS attributes in target planning for automotive product development. Expert Systems with Applications, 37(10): 6775-6786 [DOI: 10.1016/j.eswa.2010.03.048http://dx.doi.org/10.1016/j.eswa.2010.03.048]

Pan Y, Yang F and Wu Y. 2015. Coverage effectiveness evaluation of remote sensing satellite system based on AHP-FCE. Geomatics Science and Technology, 3(2): 42-50

潘勇, 杨帆, 巫远. 2015. 基于AHP-FCE的遥感卫星系统覆盖效能评估. 测绘科学技术, 3(2): 42-50 [DOI: 10.12677/GST.2015.32007http://dx.doi.org/10.12677/GST.2015.32007]

Shen J H, Fu X Y and Zhao Y X. 2011. Improvement of the fuzzy comprehensive evaluation model. Fuzzy Systems and Mathematics, 25(3): 127-132

沈继红, 付肖燕, 赵玉新. 2011. 模糊综合评估模型的改进. 模糊系统与数学, 25(3): 127-132

Tian J and Yan Z F. 2013. Fuzzy analytic hierarchy process for risk assessment to general-assembling of satellite. Journal of Applied Research and Technology, 11(4): 568-577 [DOI: 10.1016/S1665-6423(13)71564-5http://dx.doi.org/10.1016/S1665-6423(13)71564-5]

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]

Tong X D. 2018. Solidly promoting the construction of Gao Fen project to sever the belt and road initiative. Spacecraft Recovery and Remote Sensing, 39(4): 18-25

童旭东. 2018. 扎实推进高分专项实施助力“一带一路”建设. 航天返回与遥感, 39(4): 18-25

Wu Z C, Xiang W, Li J and Yang Z. 2018. Clustering algorithm for remote sensing application requirements based on satisfaction evaluation. Journal of Applied Sciences, 36(4): 635-643

巫兆聪, 项伟, 李俊, 杨志. 2018. 基于满足度评估的遥感应用需求聚类算法. 应用科学学报, 36(4): 635-643 [DOI: 10.3969/j.issn.0255-8297.2018.04.007http://dx.doi.org/10.3969/j.issn.0255-8297.2018.04.007]

Wu Z C, Xu Z Z and Yang F. 2015. Fuzzy evaluation of application satisfaction for remote sensing satellite. Journal of Applied Sciences, 33(3): 299-308

巫兆聪, 徐卓知, 杨帆. 2015. 遥感卫星应用需求满足度的模糊评估. 应用科学学报, 33(3): 299-308 [DOI: 10.3969/j.issn.0255-8297.2015.03.008http://dx.doi.org/10.3969/j.issn.0255-8297.2015.03.008]

Xiang W. 2018. Research on Synthesizing Method of Remote Sensing Earth-Observation Application Requirements Based on Cluster Analysis. Wuhan: Wuhan University

项伟. 2018. 基于聚类分析的遥感对地观测应用需求综合方法研究. 武汉: 武汉大学

You Y. 2008. The research OB evaluation method of system efficiency. Science and Technology Information, (29): 553-555

尤扬. 2008. 系统效能评估及经典方法研究. 科技信息, (29): 553-555 [DOI: 10.3969/j.issn.1001-9960.2008.29.438]

Zhao C L, Zhang Z Y and Liu Y. 2017. Application effectiveness evaluation of optical reconnaissance satellite with space-based information support. Journal of Command and Control, 3(3): 236-239

赵程亮, 张占月, 刘瑶. 2017. 光学侦察卫星信息支援应用效能评估研究. 指挥与控制学报, 3(3): 236-239 [DOI: 10.3969/j.issn.2096-0204.2017.03.0236http://dx.doi.org/10.3969/j.issn.2096-0204.2017.03.0236]

Zhao W B. 2019. Phase research and practice of upgrading earth observation from test application to system effectiveness in China. Journal of Remote Sensing, 23(6): 1036-1045

赵文波. 2019. “中国高分”科技重大专项在对地观测发展历程中的阶段研究. 遥感学报, 23(6): 1036-1045 [DOI: 10.11834/jrs.20199162http://dx.doi.org/10.11834/jrs.20199162]

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