Dai et al., 2023 - Google Patents
RADANet: Road augmented deformable attention network for road extraction from complex high-resolution remote-sensing imagesDai et al., 2023
- Document ID
- 2687212032590780786
- Author
- Dai L
- Zhang G
- Zhang R
- Publication year
- Publication venue
- IEEE Transactions on Geoscience and Remote Sensing
External Links
Snippet
Extracting roads from complex high-resolution remote sensing images to update road networks has become a recent research focus. How to apply the contextual spatial correlation and topological structure of the roads properly to improve the extraction accuracy …
- 238000000605 extraction 0 title abstract description 41
Classifications
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- G06K9/46—Extraction of features or characteristics of the image
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/30861—Retrieval from the Internet, e.g. browsers
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- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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