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Image orientation is a basic problem in Digital Photogrammetry. While interior and relative orientations have been successfully automated, the absolute orientation (or space resection) continues to be...
A parallel stereo matching algorithm is presented which is mainly thought for the processing of images from pushbroom stereo cameras. The algorithm is designed for non-epipolar geometry, because of di...
Digital Elevation Models (DEM) produced by digital photogrammetry workstations are often used as a component in complex Geographic Information Systems (GIS) modeling. Since the accuracy of GIS databas...
Image matching plays a key role in automatic DTM generation and house extraction. For the house extraction from large scale imagery, point matching and line matching complement one another: Line match...
This paper presents the results from initial testing of a new method for georeferencing airborne multispectral scanner imagery. The method is called "parametric modeling with image-to-image matching" ...
An enhancement to least squares image matching is proposed which combines a Discrete Cosine Transform (DCT) domain solution of the linearized normal equations, and resampling between iterations in the...
This paper investigates into the added value of color information for edge extraction and straight edge segment matching between stereo views. For edge extraction in color images different methods pro...
This paper presents a strategy for matching features in multiple images, which emphasises reliable matching and the recovery of feature extraction errors. The process starts from initial ‘good’ matche...
This paper deals with the least squares matching algorithm, focused on stereo pairs, without the use of epipolar geometry. The least squares matching algorithm although widely used has still some shor...
Detecting the difference between two surfaces without the aid of control points is desirable for many industrial applications. We tackle this problem by means of robust surface matching. In presence o...
In this paper, we propose a semiautomatic road extraction scheme that is based on template matching and optimization by Hopfield neural network. In the semiautomatic way, a road is extracted automatic...
A novel image matching algorithm is presented in this paper. One significant property of this algorithm is: free of large non-linear scale difference and orientation difference between left and right....
A stereo matching algorithm is developed for object surface construction. The matching problems are addressed by the integration of signal and feature matching. The innovative strategy arises within t...
Image matching is an important task in digital photogrammetry. In the paper, an approach to remote sensing image matching combining genetic algorithm(GA) with least square matching(LSM) is presented t...
An object space-based strategy for simultaneous multi-image matching of airborne stereoscopic CCD-linescanner imagery is introduced. The goal of the presented algorithmic solution is to improve and to...

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