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Advanced Hyperspectral Image Classification Using Smooth-and-Threshold Approach

Explore a new Smooth-and-Threshold (SaT) approach for hyperspectral image classification. Compare its effectiveness with traditional SVM methods on the Indian Pines Data Set, analyzing the impact of high-order smoothing terms.

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Advanced Hyperspectral Image Classification Using Smooth-and-Threshold Approach

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  1. Hyperspectral Image Classification Raymond H. Chan Department of Mathematics Chinese University of Hong Kong 1 Supported by HKRGC

  2. Hyper-spectral Image Classification 2

  3. Our Smooth-and-Threshold (SaT) Approach Traditional SVM Method

  4. Indian Pines Data Set

  5. Indian Pines Data Set

  6. Comparison with Other Methods

  7. Effect of the High-order Smoothing Term

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