Blueberry Maturity Stage Detection Based on Spectral-spatial Detection of Hyperspectral Image Using Selected Bands
نویسندگان
چکیده
Hyperspectral imaging can help blueberry growers by detecting berries of various maturity stages, so that they can deploy harvesting labors more efficiently. Spectral-spatial detection from hyperspectral images using selected bands is applied to the blueberry maturity stage detection. Nested clustering technique and morphological operations are used as two approaches to spatially process the hyperspectral images. Spatial analysis is integrated with spectral analysis using spectral angle mapper. The detection schemes achieve high accuracies, and provide blueberry detection maps with more homogeneous regions and less noise compared to the results using only spectral detection. The detection methods will be used to develop a maturity and yield mapping system for blueberry harvesting.
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