Xie et al., 2018 - Google Patents
Deep convolutional networks with residual learning for accurate spectral-spatial denoisingXie et al., 2018
- Document ID
- 4732803615816247294
- Author
- Xie W
- Li Y
- Jia X
- Publication year
- Publication venue
- Neurocomputing
External Links
Snippet
Although hyperspectral image (HSI) denoising has been studied for decades, preserving spectral data efficiently remains an open problem. In this paper, we present a powerful and trainable spectral difference mapping method based on convolutional networks with residual …
- 230000003595 spectral 0 abstract description 73
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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