Gibril et al., 2024 - Google Patents
Building Extraction from Satellite Images Using Mask R-CNN and Swin TransformerGibril et al., 2024
- Document ID
- 10519738962849767674
- Author
- Gibril M
- Al-Ruzouq R
- Bolcek J
- Shanableh A
- Jena R
- Publication year
- Publication venue
- 2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA)
External Links
Snippet
Extracting building footprints from satellite or aerial imagery is critical for many applications. Yet, the precise delineation of buildings from very high spatial resolution remotely sensed images remains challenging. This study investigated the potentiality of using Mask R-CNN …
- 238000000605 extraction 0 title description 9
Classifications
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- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
- G06K9/3241—Recognising objects as potential recognition candidates based on visual cues, e.g. shape
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- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
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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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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
- G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
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- G06K9/62—Methods or arrangements for recognition using electronic means
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