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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mulder, N.J. |
| Copyright Year | 1995 |
| Description | Author affiliation: ITC, Enschede, Netherlands (Mulder, N.J.) |
| Abstract | The application problem is to update the digital elevation model of a dune area with remote sensing data taken, with a high degree of overlap, as a video sequence from a light aeroplane. The problem in image analysis is how to estimate geometric parameters of plants and sand volumes from a sequence of images in which the same object is imaged some 128 times from different look-angles. As the classical methods for correspondence analysis of stereo images are not suitable for this purpose, the authors develop a new method based on prediction and parameter estimation. After estimating camera and platform parameters, for each image frame, they estimate the parameters of a piecewise linear object element for each intersect of object with a scanline plane. The method is least squares optimal in the parameter domain over a large set of observations. The method solves most occlusion problems. |
| Starting Page | 96 |
| Ending Page | 98 |
| File Size | 294888 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780325672 |
| DOI | 10.1109/IGARSS.1995.519658 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-07-10 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image sequence analysis Geographic Information Systems Sea measurements Parameter estimation Digital elevation models Remote sensing Video sequences Image analysis Cameras Piecewise linear techniques |
| Content Type | Text |
| Resource Type | Article |
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