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Good Practices for Object-Based Accuracy Assessment

Bibliographic reference Radoux, Julien ; Bogaert, Patrick. Good Practices for Object-Based Accuracy Assessment. In: Remote Sensing, Vol. 9, no.7, p. 646 (22 June 2017)
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  1. Stehman Stephen V., Wickham James D., Pixels, blocks of pixels, and polygons: Choosing a spatial unit for thematic accuracy assessment, 10.1016/j.rse.2011.06.007
  2. Castilla, Remote Sens., 288, 8 (2016)
  3. Global Land Cover Validation: Recommendations for Evaluation and Accuracy Assessment of Global Land Cover Maps
  4. Olofsson Pontus, Foody Giles M., Herold Martin, Stehman Stephen V., Woodcock Curtis E., Wulder Michael A., Good practices for estimating area and assessing accuracy of land change, 10.1016/j.rse.2014.02.015
  5. An Integrated Framework for Assessing the Accuracy of Geobia Landcover Products
  6. Burrough, Volume 2, 3 (1996)
  7. Bian Ling, Object-Oriented Representation of Environmental Phenomena: Is Everything Best Represented as an Object?, 10.1111/j.1467-8306.2007.00535.x
  8. Couclelis, 45 (1996)
  9. Blaschke Thomas, Hay Geoffrey J., Kelly Maggi, Lang Stefan, Hofmann Peter, Addink Elisabeth, Queiroz Feitosa Raul, van der Meer Freek, van der Werff Harald, van Coillie Frieke, Tiede Dirk, Geographic Object-Based Image Analysis – Towards a new paradigm, 10.1016/j.isprsjprs.2013.09.014
  10. Hay, 75 (2008)
  11. Baatz, 12 (2000)
  12. Dean A. M., Smith G. M., An evaluation of per-parcel land cover mapping using maximum likelihood class probabilities, 10.1080/01431160210155910
  13. Smith Geoffrey M., Morton R. Daniel, Real World Objects in GEOBIA through the Exploitation of Existing Digital Cartography and Image Segmentation, 10.14358/pers.76.2.163
  14. Castilla, 91 (2008)
  15. Schöpfer, 785 (2008)
  16. Zhan Qingming, Molenaar Martien, Tempfli Klaus, Shi Wenzhong, Quality assessment for geo‐spatial objects derived from remotely sensed data, 10.1080/01431160500057764
  17. Dronova Iryna, Gong Peng, Wang Lin, Object-based analysis and change detection of major wetland cover types and their classification uncertainty during the low water period at Poyang Lake, China, 10.1016/j.rse.2011.07.006
  18. Whiteside Timothy G., Maier Stefan W., Boggs Guy S., Area-based and location-based validation of classified image objects, 10.1016/j.jag.2013.11.009
  19. Lizarazo Ivan, Accuracy assessment of object-based image classification: another STEP, 10.1080/01431161.2014.943328
  20. Hernando A., Tiede D., Albrecht F., Lang S., Spatial and thematic assessment of object-based forest stand delineation using an OFA-matrix, 10.1016/j.jag.2012.05.007
  21. Congalton, Photogramm. Eng. Remote Sens., 59, 641 (1993)
  22. Stehman Stephen V., Selecting and interpreting measures of thematic classification accuracy, 10.1016/s0034-4257(97)00083-7
  23. Stehman Stephen V., Czaplewski Raymond L., Design and Analysis for Thematic Map Accuracy Assessment, 10.1016/s0034-4257(98)00010-8
  24. Lamarche Céline, Santoro Maurizio, Bontemps Sophie, d’Andrimont Raphaël, Radoux Julien, Giustarini Laura, Brockmann Carsten, Wevers Jan, Defourny Pierre, Arino Olivier, Compilation and Validation of SAR and Optical Data Products for a Complete and Global Map of Inland/Ocean Water Tailored to the Climate Modeling Community, 10.3390/rs9010036
  25. Congalton (2008)
  26. Eikvil Line, Aurdal Lars, Koren Hans, Classification-based vehicle detection in high-resolution satellite images, 10.1016/j.isprsjprs.2008.09.005
  27. Benz Ursula C., Hofmann Peter, Willhauck Gregor, Lingenfelder Iris, Heynen Markus, Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information, 10.1016/j.isprsjprs.2003.10.002
  28. Yang Zheng, Wang Tiejun, Skidmore Andrew K., de Leeuw Jan, Said Mohammed Y., Freer Jim, Spotting East African Mammals in Open Savannah from Space, 10.1371/journal.pone.0115989
  29. Segmentation quality evaluation for large scale mapping purposes in Flanders, Belgium
  30. Da Costa Jean Pierre, Michelet Franck, Germain Christian, Lavialle Olivier, Grenier Gilbert, Delineation of vine parcels by segmentation of high resolution remote sensed images, 10.1007/s11119-007-9031-3
  31. Montaghi Alessandro, Larsen René, Greve Mogens H., Accuracy assessment measures for image segmentation goodness of the Land Parcel Identification System (LPIS) in Denmark, 10.1080/2150704x.2013.817709
  32. Stuckens J., Coppin P.R., Bauer M.E., Integrating Contextual Information with per-Pixel Classification for Improved Land Cover Classification, 10.1016/s0034-4257(99)00083-8
  33. Duro Dennis C., Franklin Steven E., Dubé Monique G., A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery, 10.1016/j.rse.2011.11.020
  34. De Wit A. J. W., Clevers J. G. P. W., Efficiency and accuracy of per-field classification for operational crop mapping, 10.1080/01431160310001619580
  35. Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation
  36. Ke Yinghai, Quackenbush Lindi J., A review of methods for automatic individual tree-crown detection and delineation from passive remote sensing, 10.1080/01431161.2010.494184
  37. Lamar W. Robert, McGraw James B., Warner Timothy A., Multitemporal censusing of a population of eastern hemlock (Tsuga canadensis L.) from remotely sensed imagery using an automated segmentation and reconciliation procedure, 10.1016/j.rse.2004.09.003
  38. Liu Canran, Frazier Paul, Kumar Lalit, Comparative assessment of the measures of thematic classification accuracy, 10.1016/j.rse.2006.10.010
  39. Radoux Julien, Bogaert Patrick, Accounting for the area of polygon sampling units for the prediction of primary accuracy assessment indices, 10.1016/j.rse.2013.10.030
  40. Castilla Guillermo, Hernando Ana, Zhang Chunhua, McDermid Gregory J., The impact of object size on the thematic accuracy of landcover maps, 10.1080/01431161.2013.875630
  41. Radoux J., Bogaert P., Fasbender D., Defourny P., Thematic accuracy assessment of geographic object-based image classification, 10.1080/13658816.2010.498378
  42. Lang, Photogramm. Fernerkund. Geoinf., 2006, 5 (2006)
  43. Tiede Dirk, Lang Stefan, Albrecht Florian, Hölbling Daniel, Object-based Class Modeling for Cadastre-constrained Delineation of Geo-objects, 10.14358/pers.76.2.193
  44. Di Gregorio (2000)
  45. Quintero Rolando, Guzmán Giovanni, Menchaca-Mendez Rolando, Torres Miguel, Moreno-Ibarra Marco, An ontology-driven approach for the extraction and description of geographic objects contained in raster spatial data, 10.1016/j.eswa.2012.02.033
  46. WORBOYS MICHAEL F., HEARNSHAW HILARY M., MAGUIRE DAVID J., Object-oriented data modelling for spatial databases, 10.1080/02693799008941553
  47. Radoux Julien, Defourny Pierre, Automated Image-to-Map Discrepancy Detection using Iterative Trimming, 10.14358/pers.76.2.173
  48. Card, Photogramm. Eng. Remote Sens., 48, 431 (1982)
  49. Tiede, 133 (2008)
  50. Mesner Nika, Oštir Krištof, Investigating the impact of spatial and spectral resolution of satellite images on segmentation quality, 10.1117/1.jrs.8.083696
  51. Ma Lei, Cheng Liang, Li Manchun, Liu Yongxue, Ma Xiaoxue, Training set size, scale, and features in Geographic Object-Based Image Analysis of very high resolution unmanned aerial vehicle imagery, 10.1016/j.isprsjprs.2014.12.026
  52. Clinton Nicholas, Holt Ashley, Scarborough James, Yan Li, Gong Peng, Accuracy Assessment Measures for Object-based Image Segmentation Goodness, 10.14358/pers.76.3.289
  53. Van Coillie Frieke M.B., Gardin Soetkin, Anseel Frederik, Duyck Wouter, Verbeke Lieven P.C., De Wulf Robert R., Variability of operator performance in remote-sensing image interpretation: the importance of human and external factors, 10.1080/01431161.2013.873152
  54. Principles of Error Theory and Cartographic Applications
  55. Tatem A.J., Noor A.M., Hay S.I., Assessing the accuracy of satellite derived global and national urban maps in Kenya, 10.1016/j.rse.2005.02.001
  56. RADOUX J, DEFOURNY P, A quantitative assessment of boundaries in automated forest stand delineation using very high resolution imagery, 10.1016/j.rse.2007.02.031
  57. Radoux, 257 (2008)
  58. Persello C., Bruzzone L., A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images, 10.1109/tgrs.2009.2029570