Remote-Sensing Image Classification Based on an Improved Probabilistic Neural Network

@inproceedings{Zhang2009RemoteSensingIC,
  title={Remote-Sensing Image Classification Based on an Improved Probabilistic Neural Network},
  author={Yudong Zhang and Lenan Wu and Nabil Neggaz and Shuihua Wang and Geng Wei},
  booktitle={Sensors},
  year={2009}
}
This paper proposes a hybrid classifier for polarimetric SAR images. The feature sets consist of span image, the H/A/α decomposition, and the GLCM-based texture features. Then, a probabilistic neural network (PNN) was adopted for classification, and a novel algorithm proposed to enhance its performance. Principle component analysis (PCA) was chosen to reduce feature dimensions, random division to reduce the number of neurons, and Brent's search (BS) to find the optimal bias values. The results… CONTINUE READING
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