Accounting for the area of polygon sampling units for the prediction of primary accuracy assessment indices

Remote Sensing of Environment

Volumn 142, Issue , 2014, Pages 9-19

  Radoux, Julien ^a   Bogaert, Patrick ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

GEOBIA; Image segment; Land cover map; Object based; Overall accuracy; Probabilistic sample; Producer accuracy; User accuracy

Indexed keywords

FORECASTING; IMAGE SEGMENTATION;

GEOBIA; IMAGE-SEGMENT; LAND COVER; OBJECT BASED; OVERALL ACCURACIES; PRODUCER ACCURACY; USER ACCURACY;

GEOMETRY;

ACCURACY ASSESSMENT; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LAND COVER; MODEL VALIDATION; POLYGON; PROBABILITY; SAMPLING;

EID: 84889598340     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.10.030     Document Type: Article

References (55)

1. Bajracharya B., Uddin K., Chettri N., Shrestha B., Siddiqui S. Understanding land cover change using a harmonized classification system in the Himalaya. Mountain Research and Development 2010, 30(2):143-156.
2. Bian L. Object-oriented representation of environmental phenomena: Is everything best represented as an object?. Annals of the Association of American Geographers 2007, 97(2):267-281.
3. Blaschke T. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing 2010, 65(1):2-16.
4. Bontemps S., Bogaert P., Titeux N., Defourny P. An object-based change detection method accounting for temporal dependencies in time series with medium to coarse spatial resolution. Remote Sensing of Environment 2008, 112:3181-3191.
5. Boschetti L., Flasse S., Brivio P. Analysis of the conflict between omission and commission in low spatial resolution dichotomic thematic products: The Pareto Boundary. Remote Sensing of Environment 2004, 91(3-4):280-292.
6. Carleer A., Debeir O., Wolff E. Assessment of very high resolution satellite image segmentations. Photogrammetric Engineering and Remote Sensing 2005, 71(11):1284-1294.
7. Castilla G., Hernando A., Zhang C., Mazundar D., McDermid G. An integrated framework for assessing the accuracy of GEOBIA landcover products. Proceedings of the 4th GEOBIA conference, Rio de Janeiro - Brazil 2012, 572-575.
8. Clinton N., Holt A., Scarborough J., Yan L., Gong P. Accuracy assessment measures for object-based image segmentation goodness. Photogrammetric Engineering and Remote Sensing 2010, 76(3):289-299.
9. Congalton R. A review of assessing the accuracy of classification of remotely sensed data. Remote Sensing of Environment 1991, 37(1):35-46.
10. Congalton R., Green K. Assessing the accuracy of remotely sensed data. Principles and practices 2009, Taylor and Francis. second ed.
11. Couturier S., Mas J.-F., Cuevas G., Benitez J., Vega-Guzman A., Coria-Tapia V. An accuracy index with positional and thematic fuzzy bounds for Land-use/Land-cover Maps. Photogrammetric Engineering and Remote Sensing 2009, 75(7):789-805.
12. Desclée B., Bogaert P., Defourny P. Forest change detection by statistical object-based method. Remote Sensing of Environment 2006, 102(1-2):1-11.
13. Di Gregorio A. Land Cover Classification System: Classification concepts and user manual for Software version 2 2005, FAO Environment and Natural Resources Service.
14. Di Gregorio A., Jansen L. Land Cover Classification System (LCCS): Classification concepts and user manual. GCP/RAF/287/ITA Africover - East Africa Project and Soil Resources, Management and Conservation Service, Food and Agriculture Organization 2000.
15. Efron B., Tibshirani R. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Statistical Science 1986, 1(1):54-75.
16. Foody G. Status of land cover classification accuracy assessment. Remote Sensing of Environment 2002, 80:185-201.
17. George T. Aerial verification of polygonal resource maps: A low-cost approach to accuracy assessment. Photogrammetric Engineering and Remote Sensing 1986, 52(6):839-848.
18. Hagen A. Fuzzy set approach to assessing similarity of categorical maps. International Journal of Geographical Information Science 2002, 17:235-249.
19. Hansen M.C., DeFries R.S., Townshend J.R.G., Marufu L., Sohlberg R. Development of a MODIS tree cover validation data set for Western Province, Zambia. Remote Sensing of Environment 2002, 83:320-335.
20. Haralick R., Shapiro L. Image segmentation techniques. Computer Vision and Image Processing 1985, 29(1):100-132.
21. Hay G., Castilla G. Geographic object based image analysis: A new name for a new discipline. Object-based image analysis 2008, 91-111. Springer, Berlin. T. Blaschke, S. Lang, G. Hay (Eds.).
22. He K., Meeden G. Selecting the number of bins in a histogram: A decision theoretic approach. Journal of Statistical Planning and Inference 1997, 61:59-69.
23. Hernando A., Tiede D., Albrecht F., Lang S. Spatial and thematic assessment of object-based forest stand delineation using an OFA-matrix. International Journal of Applied Earth Observation and Geoinformation 2012, 19:214-225.
24. Herold M., Mayaux P., Woodcock C., Baccini A., Schmullius C. Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1km datasets. Remote Sensing of Environment 2008, 112(5):2538-2556. (Earth Observations for Terrestrial Biodiversity and Ecosystems Special Issue).
25. Huang C., Davis L., Townshend J. An assessment of support vector machines for land cover classification. International Journal of Remote Sensing 2002, 23(4):725-749.
26. Krishnamoorthy K., Thomson J., Cai Y. An exact method of testing equality of several binomial proportions to a specified standard. Computational Statistics & Data Analysis 2004, 45(4):697-707.
27. Laba M., Gregory S., Braden J., Ogurcak D., Hill E., Fegraus E., et al. Conventional and fuzzy accuracy assessment of the New York Gap Analysis Project land cover map. Remote Sensing of Environment 2002, 81(2-3):443-455.
28. Lambin E. Monitoring forest degradation in tropical regions by remote sensing: Some methodological issues. Global Ecology and Biogeography 1999, 8(3-4):191-198.
29. Leckie D., Gougeon F., Walsworth N., Paradine D. Stand delineation and composition estimation using semi-automated individual tree crown analysis. Remote sensing of environment 2003, 85(3):355-369.
30. Liu C., Frazier P., Kumar L. Comparative assessment of the measure of thematic classification accuracy. Remote Sensing of Environment 2007, 107:606-616.
31. Liu D., Xia F. Assessing object-based classification: Advantages and limitations. Remote Sensing Letters 2010, 1(4):187-194.
32. Marinho E., Fasbender D., De Kok R. Spatial assessment of categorical maps: A proposed framework. Proceedings of the 4th GEOBIA conference, Rio de Janeiro - Brazil 2012, 602-607.
33. Muller S., Walker D., Nelson F., Auerbach N., Bockheim J., Guyer S., et al. Accuracy assessment of a land-cover map of the Kuparuk River Basin, Alaska: Considerations for remote regions. Photogrammetric Engineering and Remote Sensing 1998, 64(6):619-628.
34. Neubert M., Herold H., Meine G. Assessing image segmentation quality: Concepts, methods and application. Object-based image analysis 2008, 769-784. Springer, Berlin. T. Blaschke, S. Lang, G. Hay (Eds.).
35. Pepe M., Boschetti L., Brivio P., Rampini A. Comparing the performance of fuzzy and crisp classifiers on remotely sensed images: A case of snow classification. International Journal of Remote Sensing 2010, 31(23):6189-6203.
36. Persello C., Bruzzone L. A novel protocol for accuracy assessment in classification of very high resolution images. IEEE Transactions on Geoscience and Remote Sensing 2010, 48(3, Part 1):1232-1244.
37. Radoux J., Bogaert P., Fasbender D., Defourny P. Thematic accuracy assessment of geographic object-based image classification. International Journal of Geographical Information Science 2011, 25(6):895-911.
38. Radoux J., Defourny P. A quantitative assessment of boundaries in automated forest stand delineation using very high resolution imagery. Remote Sensing of Environment 2007, 110:468-475.
39. Radoux J., Defourny P. Quality assessment of segmentation devoted to object-based classification. Object-based image analysis 2008, 257-272. Springer, Berlin, Verlag Berlin Heidelberg. T. Blaschke, S. Lang, G. Hay (Eds.).
40. Radoux J., Defourny P. Automated image-to-map discrepancy detection using iterative trimming. Photogrammetric Engineering and Remote Sensing 2010, 76(2, Sp. Iss. SI):173-181.
41. Ragia L., Winter S. Contributions to a quality description of areal objects in spatial data sets. ISPRS Journal of Photogrammetry and Remote Sensing 2000, 55(3):201-213.
42. Schopfer E., Lang S., Albrecht F. Object fate analysis - A virtual overlay method for the categorisation of object transition and object-based accuracy assessment. Object-based image analysis 2008, 785-801. Springer, Berlin. T. Blaschke, S. Lang, G. Hay (Eds.).
43. Smith J., Stehman S., Wickham J., Yang L. Effects of landscape characteristics on land-cover class accuracy. Remote Sensing of Environment 2003, 84:342-349.
44. Stehman S. Selecting and interpreting measures of thematic classification accuracy. Remote Sensing of Environment 1997, 62:77-89.
45. Stehman S.V. Statistical rigor and practical utility in thematic map accuracy assessment. Photogrammetric Engineering and Remote Sensing 2001, 67(6):727-734.
46. Stehman S.V., Arora M.K., Kasetkasem T., Varshney P.K. Estimation of fuzzy error matrix accuracy measures under stratified random sampling. Photogrammetric Engineering and Remote Sensing 2007, 73(2):165-173.
47. Stehman S., Wickham J. Pixels, blocks of pixels, and polygons: Choosing a spatial unit for thematic accuracy assessment. Remote Sensing of Environment 2011, 115(12):3044-3055.
48. Strahler A.H., Boschetti L., Foody G.M., Friedl M.A., Hansen M.C., Herold M., et al. Global land cover validation: Recommendations for evaluation and accuracy assessment of global land cover maps. GOFC-GOLD Report 2006, 25:1-52.
49. Valliant R., Dorfman A.H., Royall R.M. Finite population sampling and inference: A prediction approach 2000, John Wiley & Sons, NY.
50. Warren S., Johnson M., Goran W., Victor E. An automated, objective procedure for selecting representative field sample size. Photogrammetric engineering and remote sensing 1990, 56(3):333-336.
51. Whiteside T., Boggs G., Maler S. Extraction of tree crowns from high resolution imagery over Eucalypt dominant tropical savannas. Photogrammetric Engineering and Remote Sensing 2011, 77(8):813-824.
52. Whiteside T., Maier S., Boggs G. Site-specific area-based validation of classified products. Proceedings of the 4th GEOBIA conference, Rio de Janeiro - Brazil 2012, 153-157.
53. Woodcock C., Gopal S. Fuzzy set theory and thematic maps: Accuracy assessment and area estimation. International Journal of Geographical Information Science 2000, 14(2):153-172.
54. Zhan Q., Molenaar M., Tempfli K., Shi W. Quality assessment for geo-spatial objects derived from remotely sensed data. International Journal of Remote Sensing 2005, 26(14):2953-2974.
55. Zhang H., Fritts J., Goldman S. Image segmentation evaluation: A survey of unsupervised methods. Computer Vision and Image Understanding 2008, 110(2):260-280.