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Comparative evaluation of fuzzy based object-oriented image classification method with parametric and non-parametric classifiers. Himanshu Govil A.M.U.Aligarh. Objectives. Up to what level of classification can we perform on LISSIII/LISSIV data?
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Comparative evaluation of fuzzy based object-oriented image classification method with parametric and non-parametric classifiers Himanshu Govil A.M.U.Aligarh
Objectives • Up to what level of classification can we perform on LISSIII/LISSIV data? • Is any advantage of high spectral resolution of LISSIII over LISSIV. If yes than how can we use it for classification ? • Would object based classification method work on LISS III/LISSIV. If yes than what would bethe level of accuracy? • Would knowledge based classification give the appropriate result for low and medium resolution images? • Could we increase the accuracy of these classification methods?
Maximum Likelihood (ML) (Parametric Classifier) • Object Based (OB) (Fuzzy classifier) • Knowledge Based (KB) (Non-parametric Classifier)
DATA AND STUDY AREA • Satellite images of the area IRS-P6 LISS IV IRS-P6 LISS III • Toposheet of the area (1:50,000) • Field data (training sites, test sites, GPS locations)
LISS IV LISS III Methodology Flowchart Images Preprocessing stages Separability analysis Ground Truth Training Sites Maximum Likelihood Knowledge Based Object Based Classification Methods Accuracy Analysis Maximum Likelihood Knowledge Based Object Based Comparison Prepare land use /land cover map Final results
LISS III FEATURE SPACE FOR LISS III AND LISS IV (MLC) LISS IV
CLASSIFIED IMAGE OF LISS III AND IV (MLC) LISS III LISS IV
SEGMENTATION PARAMETERS FOR OBJECT-ORIENTED METHOD LISS III LISS IV
CLASS DESCRIPTION (OBJECT BASED) Water (LISSIII) Urban (LISSIII) Agriculture (LISSIII) Urban (LISSIV) Water (LISSIV) Agriculture (LISSIV)
FEATURE SPACE FOR LISS III AND LISS IV (OBJECT-ORIENTED) LISS III LISS IV
FEATURE SPACE OF SPECTRALLY MIXEDCLASSES (LISS III OBJECT BASED CLASSIFICATION) Dry river/Industrial Urban/Agriculture
FEATURE SPACE OF SPECTRALLY MIXED CLASSES (LISS IV OBJECT BASED CLASSIFICATION) Dry river/Industrial Residential/Dry river Industrial/Urban
LISS IV CLASSIFIED IMAGE (EXPERT CLASSIFIER) Before Rule base classification After Rule base classification
CONCLUSION • On LISS III and LISS IV images up to second and third level of classification is possible but consideration of accuracy is needed. • High spectral resolution of LISS III can provide some good results to separate classes as compare to LISS IV. • Object based classification can also be applicable on LISS III and LISS IV images. But in LISS III it needs more parameters as compare to LISS IV. • By the help of expert classifier the accuracy of maximum likelihood results can be improved by the help of some additional layers.