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Learning-Based Fuzzy Fusion of Multiple Classifiers for Object-Oriented Classification of High Resolution Images

  • Rajeswari Balasubramaniam
  • Gorthi R. K. Sai Subrahmanyam
  • Rama Rao Nidamanuri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 703)

Abstract

In remote-sensing, multi-classifier systems (MCS) have found its use for efficient pixel level image classification. Current challenge faced by the RS community is, classification of very high resolution (VHR) satellite/aerial images. Despite the abundance of data, certain inherent difficulties affect the performance of existing pixel-based models. Hence, the trend for classification of VHR imagery has shifted to object-oriented image analysis (OOIA) which work at object level. We propose a shift of paradigm to object-oriented MCS (OOMCS) for efficient classification of VHR imagery. Our system uses the modern computer vision concept of superpixels for the segmentation stage in OOIA. To this end, we construct a learning-based decision fusion method for integrating the decisions from the MCS at superpixel level for the classification task. Upon detailed experimentation, we show that our method exceeds in performance with respect to a variety of traditional OOIA decision systems. Our method has also empirically outperformed under conditions of two typical artefacts, namely unbalanced samples and high intra-class variance.

Keywords

Multi-classifier system Object-oriented image analysis Segmentation Superpixels Classification Fusion 

Notes

Acknowledgements

The Vaihingen data set was provided by the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF) [3].

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Rajeswari Balasubramaniam
    • 1
  • Gorthi R. K. Sai Subrahmanyam
    • 2
  • Rama Rao Nidamanuri
    • 1
  1. 1.Indian Institute of Space Science and TechnologyThiruvananthapuramIndia
  2. 2.Indian Institute of TechnologyTirupatiIndia

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