Tsagkatakis et al., 2019 - Google Patents
Survey of deep-learning approaches for remote sensing observation enhancementTsagkatakis et al., 2019
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- 14843317611585859428
- Author
- Tsagkatakis G
- Aidini A
- Fotiadou K
- Giannopoulos M
- Pentari A
- Tsakalides P
- Publication year
- Publication venue
- Sensors
External Links
Snippet
Deep Learning, and Deep Neural Networks in particular, have established themselves as the new norm in signal and data processing, achieving state-of-the-art performance in image, audio, and natural language understanding. In remote sensing, a large body of …
- 230000001537 neural 0 abstract description 65
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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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- G06T2207/10032—Satellite or aerial image; Remote sensing
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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