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Soil and Crop/Tree Segmentation from Remotely Sensed Data by Using Digital Surface Models

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Figure

Figure 1. Gaussian test image generated artificially with a rapidly varying stochastic object field overthe z-x pixel plane
Figure 2. Soil field σ(x, z) extraction from the original Gaussian test field image.
Figure 3. Object field τ(x, z) derived from equation 3. Notice that the correlation frequency for theseobjects is constant everywhere along z + x = 0.
Figure 5. Geometry of the FANSCAN algorithm (see algorithmposition. Negative pixels on thevectors 2)
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