IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2019i1p274-d303113.html
   My bibliography  Save this article

Uncertainty Problems in Image Change Detection

Author

Listed:
  • Wenyu Wang

    (School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Mryka Hall-Beyer

    (Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada)

  • Changshan Wu

    (School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
    Department of Geography, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA)

  • Weihua Fang

    (Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Academy of Disaster Reduction and Emergency Management; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Walter Nsengiyumva

    (College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)

Abstract

Image Change Detection (ICD) methods are widely adopted to update large area land use/cover products. Uncertainty problems, however, are well known in such techniques, and a transparent assessment is necessary. In this study, a framework was proposed for evaluating binary land change utilizing remote sensing images. First, two widely adopted ICD methods were used to establish change maps. Second, binary decisions on Change (C) and Non-Change (NC) classes were reached through thresholding on change maps. Then, results were evaluated using two sampling designs: random sampling and stratified sampling. Analysis of results suggests that (1) for random sampling, with an increasing threshold on change variables, the overall accuracy increases and shows a large variance, which is highly correlated with the C omission error; and (2) comparatively, for stratified sampling, in which two strata (i.e., C and NC) were set, the overall accuracy shows a smaller variance and is highly associated with the NC commission error. The significant trends in accuracy assessments indicate the trade-offs between the C and NC classification errors in a binary decision and can present superficial or perfunctory accuracy evaluation in certain circumstances that the causes of error sources and uncertainty problems in ICD are not fully understood.

Suggested Citation

  • Wenyu Wang & Mryka Hall-Beyer & Changshan Wu & Weihua Fang & Walter Nsengiyumva, 2019. "Uncertainty Problems in Image Change Detection," Sustainability, MDPI, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:274-:d:303113
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/1/274/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/1/274/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ronald L. Iman & Jon C. Helton, 1988. "An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models," Risk Analysis, John Wiley & Sons, vol. 8(1), pages 71-90, March.
    2. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    3. H. Christopher Frey & Sumeet R. Patil, 2002. "Identification and Review of Sensitivity Analysis Methods," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 553-578, June.
    4. Huanhuan Li & Wei Song, 2019. "Expansion of Rural Settlements on High-Quality Arable Land in Tongzhou District in Beijing, China," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Truong Linh Nguyen & DongYeob Han, 2020. "Detection of Road Surface Changes from Multi-Temporal Unmanned Aerial Vehicle Images Using a Convolutional Siamese Network," Sustainability, MDPI, vol. 12(6), pages 1-13, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. S. Cucurachi & E. Borgonovo & R. Heijungs, 2016. "A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 357-377, February.
    2. Emanuele Borgonovo & Gordon B. Hazen & Elmar Plischke, 2016. "A Common Rationale for Global Sensitivity Measures and Their Estimation," Risk Analysis, John Wiley & Sons, vol. 36(10), pages 1871-1895, October.
    3. Isadora Antoniano‐Villalobos & Emanuele Borgonovo & Sumeda Siriwardena, 2018. "Which Parameters Are Important? Differential Importance Under Uncertainty," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2459-2477, November.
    4. Darima Fotheringham & Michael A. Wiles, 2023. "The effect of implementing chatbot customer service on stock returns: an event study analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 802-822, July.
    5. Song, Wei-Ling & Uzmanoglu, Cihan, 2016. "TARP announcement, bank health, and borrowers’ credit risk," Journal of Financial Stability, Elsevier, vol. 22(C), pages 22-32.
    6. Raymundo M. Campos-Vázquez, 2013. "Efectos de los ingresos no reportados en el nivel y tendencia de la pobreza laboral en México," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 23-54, November.
    7. Stephen Brown & William Goetzmann & Bing Liang & Christopher Schwarz, 2008. "Mandatory Disclosure and Operational Risk: Evidence from Hedge Fund Registration," Journal of Finance, American Finance Association, vol. 63(6), pages 2785-2815, December.
    8. Paul W. Miller & Barry R. Chiswick, 2002. "Immigrant earnings: Language skills, linguistic concentrations and the business cycle," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(1), pages 31-57.
    9. Chul‐Woo Kwon & Peter F. Orazem & Daniel M. Otto, 2006. "Off‐farm labor supply responses to permanent and transitory farm income," Agricultural Economics, International Association of Agricultural Economists, vol. 34(1), pages 59-67, January.
    10. Jonathan Gruber & Aaron Yelowitz, 1999. "Public Health Insurance and Private Savings," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1249-1274, December.
    11. Jean-Louis Arcand & Linguère M'Baye, 2013. "Braving the waves: the role of time and risk preferences in illegal migration from Senegal," CERDI Working papers halshs-00855937, HAL.
    12. Sandra Müllbacher & Wolfgang Nagl, 2017. "Labour supply in Austria: an assessment of recent developments and the effects of a tax reform," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 465-486, August.
    13. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
    14. Leye Li & Louise Yi Lu & Dongyue Wang, 2022. "External labour market competitions and stock price crash risk: evidence from exposures to competitor CEOs’ award‐winning events," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1421-1460, April.
    15. Jože P. Damijan & Mark Knell, 2005. "How Important Is Trade and Foreign Ownership in Closing the Technology Gap? Evidence from Estonia and Slovenia," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 141(2), pages 271-295, July.
    16. Calcagno, R. & Renneboog, L.D.R., 2004. "Capital Structure and Managerial Compensation : The Effects of Renumeration Seniority," Discussion Paper 2004-120, Tilburg University, Center for Economic Research.
    17. Nakashima, Kiyotaka & Ogawa, Toshiaki, 2020. "The Impacts of Strengthening Regulatory Surveillance on Bank Behavior: A Dynamic Analysis from Incomplete to Complete Enforcement of Capital Regulation in Microprudential Policy," MPRA Paper 99938, University Library of Munich, Germany.
    18. Sarah Bridges & David Lawson, 2008. "Health and Labour Market Participation in Uganda," WIDER Working Paper Series DP2008-07, World Institute for Development Economic Research (UNU-WIDER).
    19. Ahn T. Le, 2003. "Female Labour Market Participation: Differences Between Primary and Tied Movers," Economics Discussion / Working Papers 03-17, The University of Western Australia, Department of Economics.
    20. Inmaculada Garc�a-Mainar & V�ctor M. Montuenga-G�mez, 2017. "Subjective educational mismatch and signalling in Spain," Documentos de Trabajo dt2017-03, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:274-:d:303113. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.