2016
DOI: 10.1007/978-3-319-33618-3_29
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Palm Trees Detection from High Spatial Resolution Satellite Imagery Using a New Contextual Classification Method with Constraints

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“…Consequently, remote sensing-based mapping of point objects in the physiognomic landscape should be based in spatial autocorrelation or pixelbased texture metrics, such as the Grey-Level Co-Occurrence Matrix texture metrics (Haralick et al 1973;Hall-Beyer 2017b). This approach is already utilised for the detection of stand-alone palm trees, with high-resolution satellite imagery (Idbraim et al 2016). However, no studies were found connecting in-situ eye-tracking analysis with remote sensing-based textural mapping, thus, this lack of results frames the respective potential for further research.…”
Section: Indicators Of Pointsmentioning
confidence: 99%
“…Consequently, remote sensing-based mapping of point objects in the physiognomic landscape should be based in spatial autocorrelation or pixelbased texture metrics, such as the Grey-Level Co-Occurrence Matrix texture metrics (Haralick et al 1973;Hall-Beyer 2017b). This approach is already utilised for the detection of stand-alone palm trees, with high-resolution satellite imagery (Idbraim et al 2016). However, no studies were found connecting in-situ eye-tracking analysis with remote sensing-based textural mapping, thus, this lack of results frames the respective potential for further research.…”
Section: Indicators Of Pointsmentioning
confidence: 99%