• Corpus ID: 244800748

Multi-Label Noise Robust Collaborative Learning Method for Remote Sensing Image Classification

  title={Multi-Label Noise Robust Collaborative Learning Method for Remote Sensing Image Classification},
  author={Ahmet Aksoy and Mahdyar Ravanbakhsh and Beg{\"u}m Demir},
—The development of accurate methods for multi- label classification (MLC) of remote sensing (RS) images is one of the most important research topics in RS. The MLC methods based on Convolutional Neural Networks (CNNs) have shown strong performance gains in RS. However, they usually require a high number of reliable training images annotated with multiple land-cover class labels. Collecting such data is time- consuming and costly. To address this problem, the publicly available thematic products… 
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  • Computer Science
    ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing
  • 2019
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