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Change detection from remotely sensed images: From pixel-based to object-based approaches
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Abstract
No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
The record
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Topic
- Remote-Sensing Image Classification
- Field
- Engineering
- Canadian institutions
- Queen's University
- Funders
- —
- Keywords
- Change detectionComputer scienceRemote sensingPixelLand coverContext (archaeology)Earth observationObject detectionData miningLand useArtificial intelligenceSatelliteGeographyPattern recognition (psychology)
- Has abstract in OpenAlex
- no