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Multi-temporal UAV data for automatic measurement of rill and interrill erosion on loess soil : UAV DATA FOR AUTOMATIC MEASUREMENT OF RILL AND INTERRILL EROSION

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      A computational approach to edge detection.

      This paper describes a computational approach to edge detection. The success of the approach depends on the definition of a comprehensive set of goals for the computation of edge points. These goals must be precise enough to delimit the desired behavior of the detector while making minimal assumptions about the form of the solution. We define detection and localization criteria for a class of edges, and present mathematical forms for these criteria as functionals on the operator impulse response. A third criterion is then added to ensure that the detector has only one response to a single edge. We use the criteria in numerical optimization to derive detectors for several common image features, including step edges. On specializing the analysis to step edges, we find that there is a natural uncertainty principle between detection and localization performance, which are the two main goals. With this principle we derive a single operator shape which is optimal at any scale. The optimal detector has a simple approximate implementation in which edges are marked at maxima in gradient magnitude of a Gaussian-smoothed image. We extend this simple detector using operators of several widths to cope with different signal-to-noise ratios in the image. We present a general method, called feature synthesis, for the fine-to-coarse integration of information from operators at different scales. Finally we show that step edge detector performance improves considerably as the operator point spread function is extended along the edge.
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        Smoothing and Differentiation of Data by Simplified Least Squares Procedures.

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          A method for registration of 3-D shapes

           P.J. Besl,  Neil McKay (1992)
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            Author and article information

            Journal
            Earth Surface Processes and Landforms
            Earth Surf. Process. Landforms
            Wiley-Blackwell
            01979337
            May 2015
            May 2015
            : 40
            : 6
            : 741-755
            10.1002/esp.3673
            © 2015

            http://doi.wiley.com/10.1002/tdm_license_1.1

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            Self URI (article page): http://doi.wiley.com/10.1002/esp.3673

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