11 December 2008 A spatial Poisson Point Process to classify coconut fields on Ikonos pansharpened images
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Abstract
The goal of this study is to classify the coconut fields, observed on remote sensing images, according to their spatial distribution. For that purpose, we use a technique of point pattern analysis to characterize spatially a set of points. These points are obtained after a coconut trees segmentation process on Ikonos images. Coconuts' fields not following a Poisson Point Process are identified as maintained, otherwise other fields are characterized as wild. A spatial analysis is then used to establish locally the Poisson intensity and therefore to characterize the degree of wildness.
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R. Teina, D. Béréziat, B. Stoll, "A spatial Poisson Point Process to classify coconut fields on Ikonos pansharpened images", Proc. SPIE 7149, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications II, 71491E (11 December 2008); doi: 10.1117/12.806422; https://doi.org/10.1117/12.806422
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