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Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
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 funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
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
- —
- Funders
- Wageningen University and ResearchU.S. Geological SurveyUniversity of British Columbia
- Keywords
- Change detectionComputer scienceAlgorithmThresholdingPreprocessorPixelSeries (stratigraphy)UnivariateArtificial intelligenceTime seriesRemote sensingSegmentationMultivariate statisticsImage (mathematics)Machine learningGeology
- Has abstract in OpenAlex
- no