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Dual-polarimetric C-band SAR data for land use/land cover classification by incorporating textural information

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Abstract

The work presented here showed a comprehensive evaluation of dual-polarimetric RISAT-1 data for land use/land cover (LULC) classification. The textural images were extracted with the help of gray-level co-occurrence matrix approach. Analysis of inter-class separability using transformed divergence method was performed to recognize the potential textural images. The best combination of textural images was also identified on the basis of standard deviation of preferred textural images and correlation coefficients. The maximum likelihood classifier-based classification results for different scenarios were compared. Furthermore, various classification algorithms, maximum likelihood classifier (MLC), artificial neural network (ANN), random forest (RF) and support vector machine (SVM), were performed on the best identified scenario in order to observe the most suitable algorithm for LULC classification. The combination of radiometric and their related textural images was found improving the overall classification accuracy than individual datasets. The highest overall classification accuracy was found using SVM (88.97%) followed by RF (88.45%), ANN (83.65%) and MLC (78.18%).

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Acknowledgements

The authors wish to gratefully acknowledge Prof. Rajeev Sangal Director, Indian Institute of Technology (B.H.U.), Varanasi, for providing financial support to procure ENVI-SARscape (v5.1) image analysis software. The authors would also like to express their deep sense of gratefulness to anonymous reviewers and editors for their valuable comments and suggestions that helped to improve the manuscript.

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Authors and Affiliations

  1. Department of Physics, Indian Institute of Technology (BHU), Varanasi, India

    Varun Narayan Mishra, Rajendra Prasad, Pradeep Kumar & Dileep Kumar Gupta

  2. Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India

    Prashant K. Srivastava

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  1. Varun Narayan Mishra
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  2. Rajendra Prasad
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  3. Pradeep Kumar
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  4. Dileep Kumar Gupta
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  5. Prashant K. Srivastava
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Correspondence to Rajendra Prasad.

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Mishra, V.N., Prasad, R., Kumar, P. et al. Dual-polarimetric C-band SAR data for land use/land cover classification by incorporating textural information. Environ Earth Sci 76, 26 (2017). https://doi.org/10.1007/s12665-016-6341-7

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