Distance to second cluster as a measure of classification confidence
暂无分享,去创建一个
Scott Mitchell | Tarmo K. Remmel | Ferenc Csillag | Michael A. Wulder | S. Mitchell | M. Wulder | F. Csillag | T. Remmel
[1] Stephen V. Stehman,et al. Statistical Rigor and Practical Utility in Thematic Map Accuracy Assessment , 2001 .
[2] Giles M. Foody,et al. Directed ground survey for improved maximum likelihood classification of remotely sensed data , 1990 .
[3] John A. Richards,et al. Remote Sensing Digital Image Analysis , 1986 .
[4] Brandt Tso,et al. A contextual classification scheme based on MRF model with improved parameter estimation and multiscale fuzzy line process , 2005 .
[5] A. Setzer,et al. Spectral characteristics of fire scars in Landsat-5 TM images of Amazonia , 1993 .
[6] Farid Melgani,et al. An explicit fuzzy supervised classification method for multispectral remote sensing images , 2000, IEEE Trans. Geosci. Remote. Sens..
[7] Michael A. Wulder,et al. Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas , 2002 .
[8] Michael A. Wulder,et al. Validation of a large area land cover product using purpose-acquired airborne video , 2007 .
[9] Manish Sarkar,et al. Fuzzy-rough nearest neighbors algorithm , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.
[10] Graciela Metternicht,et al. Categorical fuzziness: a comparison between crisp and fuzzy class boundary modelling for mapping salt-affected soils using Landsat TM data and a classification based on anion ratios , 2003 .
[11] Pi-Fuei Hsieh,et al. Effect of spatial resolution on classification errors of pure and mixed pixels in remote sensing , 2001, IEEE Trans. Geosci. Remote. Sens..
[12] John A. Richards,et al. Classifier performance and map accuracy , 1996 .
[13] J. Cihlar. Land cover mapping of large areas from satellites: Status and research priorities , 2000 .
[14] Stephen V. Stehman,et al. Selecting and interpreting measures of thematic classification accuracy , 1997 .
[15] Antonio J. Plaza,et al. A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[16] Ian Olthof,et al. Mapping deciduous forest ice storm damage using Landsat and environmental data , 2004 .
[17] Zhongbiao Chen,et al. A new process for the segmentation of high resolution remote sensing imagery , 2006 .
[18] Janet Franklin,et al. A Neural Network Method for Efficient Vegetation Mapping , 1999 .
[19] T. M. Lillesand,et al. Remote Sensing and Image Interpretation , 1980 .
[20] J. Wickham,et al. Thematic accuracy of the 1992 National Land-Cover Data for the eastern United States: Statistical methodology and regional results , 2003 .
[21] Paul M. Mather,et al. The use of backpropagating artificial neural networks in land cover classification , 2003 .
[22] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[23] Geoff Smith,et al. An evaluation of per-parcel land cover mapping using maximum likelihood class probabilities , 2003 .
[24] Ignazio Gallo,et al. A cognitive pyramid for contextual classification of remote sensing images , 2003, IEEE Trans. Geosci. Remote. Sens..
[25] Roland L. Redmond,et al. Estimation and Mapping of Misclassification Probabilities for Thematic Land Cover Maps , 1998 .
[26] John A. Richards,et al. Remote Sensing Digital Image Analysis: An Introduction , 1999 .
[27] David A. Landgrebe,et al. MultiSpec: a tool for multispectral--hyperspectral image data analysis , 2002 .
[28] Giles M. Foody,et al. Status of land cover classification accuracy assessment , 2002 .
[29] Scott Mitchell,et al. Integration of forest inventory and satellite imagery:: a Canadian status assessment and research issues , 2005 .
[30] Ronald J. Hall,et al. Operational mapping of the land cover of the forested area of Canada with Landsat data: EOSD land cover program , 2003 .
[31] Paul V. Bolstad,et al. Improved classification of forest vegetation in northern Wisconsin through a rule-based combination of soils, terrain, and Landsat Thematic Mapper data , 1992 .
[32] F. Maselli,et al. Use of probability entropy for the estimation and graphical representation of the accuracy of maximum likelihood classifications , 1994 .
[33] M. Wulder,et al. Contextual classification of Landsat TM images to forest inventory cover types , 2004 .
[34] Giles M. Foody,et al. Incorporating mixed pixels in the training, allocation and testing stages of supervised classifications , 1996, Pattern Recognit. Lett..
[35] W. B. Yates,et al. Classification of remotely sensed data by an artificial neural network: issues related to training data characteristics , 1995 .
[36] M. Gillis. Canada's National Forest Inventory (Responding to Current Information Needs) , 2001, Environmental monitoring and assessment.
[37] Ludovic Roux,et al. A fuzzy-possibilistic scheme of study for objects with indeterminate boundaries: application to French Polynesian reefscapes , 2000, IEEE Trans. Geosci. Remote. Sens..
[38] Tarmo K. Remmel,et al. Confidence in coincidence , 2006 .
[39] Fangju Wang,et al. Fuzzy supervised classification of remote sensing images , 1990 .
[40] C. Özkan,et al. Comparison of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities , 2004 .
[41] N. Campbell,et al. Derivation and applications of probabilistic measures of class membership from the maximum-likelihood classification , 1992 .
[42] F. J. García-Haro,et al. A Mixture Modeling Approach to Estimate Vegetation Parameters for Heterogeneous Canopies in Remote Sensing , 2000 .
[43] K. M. Reddy,et al. Performance analysis of IRS-bands for land use/land cover classification system using Maximum Likelihood Classifier , 1996 .