SEGMENTATION BASED ROBUST INTERPOLATION - A NEW APPROACH TO LASER DATA FILTERING

With airborne laser scanning points are measured on the terrain surface, and on other objects as buildings and vegetation. With socalled filtering methods a classification of the points into terrain and object points is performed. In the literature two approaches – i.e. a general strategies for solving the problem – for filtering can be identified. The first work directly on the measured points and geometric criteria are used for the decision, if a point is on the ground or an object point. The methods from the second approach first segment the data and then make a classification based on segments. In this paper we present a new approach for filtering. It is a combination of both approaches, specifically exploiting their strengths. A filter method following this new approach is developed and demonstrated by examples.

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