By Timothy Tripp

This e-book offers an advent on aquaponic gardening, which lets you develop vegetation and fish whilst and place.

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This is accomplished by the same digital image correlation techniques that also are used for automatic tie point generation and DEM extraction (see below). This technique saves the operator continually adjusting the x-parallax to changing terrain height; however, its success does significantly depend on local image contrast, texture and pattern. Apart from individual measurements of 3D point positions, distances, areas, volumes, angles, and slopes, digital photogrammetry systems with stereoviewing facilities allow the direct stereoscopic collection of georectified 3D GIS vector data as point, line, or polygon features.

Bartels and Wei, 2007; Gru¨n, 2008). Based on the two main categories of image-matching techniques (area-based matching and feature-based matching), various hybrid methods have been developed (Wolf and Dewitt, 2000). All are concerned with statistically determining the correspondence between two or multiple image areas or features in order to identify homologous image points. A variety of parameters constrains and controls the process of searching and correlating image points. The quality and amount of height points may be affected both by the ground-cover type and by image characteristics such as noise and local contrast.

Dark and shadowed regions often show low correlation coefficients owing to increased noise, and homogeneous smooth surfaces may have too little texture for successful image matching. Figure 3-15 illustrates the results of an investigation into the role of different image types and ground-cover classes. 3 megapixel DSLR on a double-camera mount) were used for DEM extraction. The analog transparency slides were scanned with 2900 dpi and subsequently resampled to 1800 dpi, all images were processed with Leica Photogrammetry Suite.

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