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Volumn 8, Issue 4, 2016, Pages

Spatial estimation of classification accuracy using indicator kriging with an image-derived ambiguity index

Author keywords

Accuracy; Classification; Indicator kriging; Posteriori probability

Indexed keywords

DATA FUSION; IMAGE RESOLUTION; INTERPOLATION; MATRIX ALGEBRA; PROBABILITY; REGRESSION ANALYSIS;

EID: 84971619694     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8040320     Document Type: Article
Times cited : (20)

References (28)
  • 1
    • 18544372440 scopus 로고    scopus 로고
    • Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing
    • Lee, S. Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing. Int. J. Remote Sens. 2005, 26, 1477-1491.
    • (2005) Int. J. Remote Sens , vol.26 , pp. 1477-1491
    • Lee, S.1
  • 3
    • 53849096305 scopus 로고    scopus 로고
    • A review of land-use regression models to assess spatial variation of outdoor air pollution
    • Hoek, G.; Beelen, R.; de Hoogh, K.; Vienneau, D.; Gulliver, J.; Fischer, P.; Briggs, D. A review of land-use regression models to assess spatial variation of outdoor air pollution. Atmos. Environ. 2008, 42, 7561-7578.
    • (2008) Atmos. Environ , vol.42 , pp. 7561-7578
    • Hoek, G.1    Beelen, R.2    de Hoogh, K.3    Vienneau, D.4    Gulliver, J.5    Fischer, P.6    Briggs, D.7
  • 5
    • 0032634225 scopus 로고    scopus 로고
    • Multisensor data fusion using fuzzy concepts: Application to land-cover classification using ERS-1/JERS-1 SAR composites
    • Solaiman, B.; Pierce, L.E.; Ulaby, F.T. Multisensor data fusion using fuzzy concepts: Application to land-cover classification using ERS-1/JERS-1 SAR composites. IEEE Trans. Geosci. Remote Sens. 1999, 37, 1316-1326.
    • (1999) IEEE Trans. Geosci. Remote Sens , vol.37 , pp. 1316-1326
    • Solaiman, B.1    Pierce, L.E.2    Ulaby, F.T.3
  • 6
    • 0032638011 scopus 로고    scopus 로고
    • A neural-statistical approach to multitemporal and multisource remote-sensing image classification
    • Bruzzone, L.; Prieto, D.F.; Serpico, S.B. A neural-statistical approach to multitemporal and multisource remote-sensing image classification. IEEE Trans. Geosci. Remote Sens. 1999, 37, 1350-1359.
    • (1999) IEEE Trans. Geosci. Remote Sens , vol.37 , pp. 1350-1359
    • Bruzzone, L.1    Prieto, D.F.2    Serpico, S.B.3
  • 9
    • 36349007145 scopus 로고    scopus 로고
    • Fusion of support vector machines for classification of multisensory data
    • Waske, B.; Benediktsson, J.A. Fusion of support vector machines for classification of multisensory data. IEEE Trans. Geosci. Remote Sens. 2007, 45, 3858-3866.
    • (2007) IEEE Trans. Geosci. Remote Sens , vol.45 , pp. 3858-3866
    • Waske, B.1    Benediktsson, J.A.2
  • 10
    • 78650903054 scopus 로고    scopus 로고
    • An artificial immune network approach to multi-sensor land use/cover classification
    • Gong, B.; Im, J.; Mountrakis, G. An artificial immune network approach to multi-sensor land use/cover classification. Remote Sens. Environ. 2011, 115, 600-614.
    • (2011) Remote Sens. Environ , vol.115 , pp. 600-614
    • Gong, B.1    Im, J.2    Mountrakis, G.3
  • 11
    • 84885019653 scopus 로고    scopus 로고
    • Combining support vector machines and Markov random fields in an integrated framework for contextual image classification
    • Moser, G.; Serpico, S.B. Combining support vector machines and Markov random fields in an integrated framework for contextual image classification. IEEE Trans. Geosci. Remote Sens. 2013, 51, 2734-2752.
    • (2013) IEEE Trans. Geosci. Remote Sens , vol.51 , pp. 2734-2752
    • Moser, G.1    Serpico, S.B.2
  • 12
    • 84912029121 scopus 로고    scopus 로고
    • Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine
    • Chen, C.; Li, W.; Su, H.; Liu, K. Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine. Remote Sens. 2014, 6, 5795-5814.
    • (2014) Remote Sens , vol.6 , pp. 5795-5814
    • Chen, C.1    Li, W.2    Su, H.3    Liu, K.4
  • 13
    • 84979917755 scopus 로고    scopus 로고
    • Object-based crop species classification based on the combination of airborne hyperspectral images and LiDAR data
    • Liu, X.; Bo, Y. Object-based crop species classification based on the combination of airborne hyperspectral images and LiDAR data. Remote Sens. 2015, 7, 922-950.
    • (2015) Remote Sens , vol.7 , pp. 922-950
    • Liu, X.1    Bo, Y.2
  • 16
    • 0031449731 scopus 로고    scopus 로고
    • Measuring uncertainty in class assignment for natural resource maps under fuzzy logic
    • Zhu, A.X. Measuring uncertainty in class assignment for natural resource maps under fuzzy logic. Photogramm. Eng. Remote Sens. 1997, 63, 1195-1202.
    • (1997) Photogramm. Eng. Remote Sens , vol.63 , pp. 1195-1202
    • Zhu, A.X.1
  • 17
    • 0344654801 scopus 로고    scopus 로고
    • Estimation and mapping of misclassification probabilities for thematic land cover mapping
    • Steele, B.M.; Winne, J.C.; Redmond, R.L. Estimation and mapping of misclassification probabilities for thematic land cover mapping. Remote Sens. Environ. 1998, 66, 192-202.
    • (1998) Remote Sens. Environ , vol.66 , pp. 192-202
    • Steele, B.M.1    Winne, J.C.2    Redmond, R.L.3
  • 18
    • 0035677673 scopus 로고    scopus 로고
    • A geostatistical approach for mapping thematic classification accuracy and evaluating the impact of inaccurate spatial data on ecological model predictions
    • Kyriakidis, P.C.; Dungan, J.L. A geostatistical approach for mapping thematic classification accuracy and evaluating the impact of inaccurate spatial data on ecological model predictions. Environ. Ecol. Stat. 2001, 8, 311-330.
    • (2001) Environ. Ecol. Stat , vol.8 , pp. 311-330
    • Kyriakidis, P.C.1    Dungan, J.L.2
  • 19
    • 34250149492 scopus 로고
    • Non-parametric estimation of spatial distribution
    • Journel, A.G. Non-parametric estimation of spatial distribution. Math. Geol. 1983, 15, 445-468.
    • (1983) Math. Geol , vol.15 , pp. 445-468
    • Journel, A.G.1
  • 20
    • 48249131615 scopus 로고    scopus 로고
    • Integration of multitemporal/polarization C-band SAR data sets for land-cover classification
    • Park, N.-W.; Chi, K.-H. Integration of multitemporal/polarization C-band SAR data sets for land-cover classification. Int. J. Remote Sens. 2008, 29, 4667-4688.
    • (2008) Int. J. Remote Sens , vol.29 , pp. 4667-4688
    • Park, N.-W.1    Chi, K.-H.2
  • 21
    • 3042661357 scopus 로고    scopus 로고
    • Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy
    • Foody, G.M. Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy. Photogramm. Eng. Remote Sens. 2004, 70, 627-633.
    • (2004) Photogramm. Eng. Remote Sens , vol.70 , pp. 627-633
    • Foody, G.M.1
  • 22
    • 0029667623 scopus 로고    scopus 로고
    • Classification of remotely-sensed imagery using an indicator kriging approach: Application to the problem of calcite-dolomite mineral mapping
    • Van der Meer, F. Classification of remotely-sensed imagery using an indicator kriging approach: Application to the problem of calcite-dolomite mineral mapping. Int. J. Remote Sens. 1996, 17, 1233-1249.
    • (1996) Int. J. Remote Sens , vol.17 , pp. 1233-1249
    • Van der Meer, F.1
  • 23
    • 0042504306 scopus 로고    scopus 로고
    • Geostatistical incorporation of spatial corrdinates into supervised classification of hyperspectral data
    • Goovaerts, P. Geostatistical incorporation of spatial corrdinates into supervised classification of hyperspectral data. J. Geograph. Syst. 2002, 4, 99-111.
    • (2002) J. Geograph. Syst , vol.4 , pp. 99-111
    • Goovaerts, P.1
  • 24
    • 84896402412 scopus 로고    scopus 로고
    • A feature-space indicator kriging approach for remote sensing image classification
    • Chiang, J.-L.; Liou, J.-J.; Wei, C.; Cheng, K.-S. A feature-space indicator kriging approach for remote sensing image classification. IEEE Trans. Geosci. Remote Sens. 2014, 52, 4046-4055.
    • (2014) IEEE Trans. Geosci. Remote Sens , vol.52 , pp. 4046-4055
    • Chiang, J.-L.1    Liou, J.-J.2    Wei, C.3    Cheng, K.-S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.