Zhang et al., 2022 - Google Patents
Artificial intelligence for remote sensing data analysis: A review of challenges and opportunitiesZhang et al., 2022
- Document ID
- 11663335474474392506
- Author
- Zhang L
- Zhang L
- Publication year
- Publication venue
- IEEE Geoscience and Remote Sensing Magazine
External Links
Snippet
Artificial intelligence (AI) plays a growing role in remote sensing (RS). Applications of AI, particularly machine learning algorithms, range from initial image processing to high-level data understanding and knowledge discovery. AI techniques have emerged as a powerful …
Classifications
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- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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- G06K9/629—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of extracted features
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- G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
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- G—PHYSICS
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