Paper
28 September 2009 Automatic image registration through the segmentation of images pre-processed by joint histogram analysis
Author Affiliations +
Abstract
A wide variety of automatic image registration methods have been proposed in the last years. However, under the scope of remote sensing applications, geometric correction is still mostly a manual work. A methodology for automatic image registration is proposed, which consists in three major steps: pre-processing, segmentation, and registration. The considered pre-processing is a new method, which is an iterative process based on a joint histogram analysis. Regarding the segmentation stage, global thresholding and a new method were used. The later comprises global thresholding and distance transforms in a single method. For both methods the following object properties were extracted: area, major and minor axis lengths of the adjusted ellipse and perimeter. The registration phase incorporates the matching of corresponding objects, a template matching technique to compute the distance between each pair of matched objects, and the computation of the transformation function parameters. The used dataset consisted in the pairs ETM+/ASTER, ETM+/SPOT and Orthophoto/IKONOS. The proposed methodology allows for the registration of a pair of images with translation and rotation effects, and to some extent with different spectral content, leading to a subpixel accuracy. Furthermore, it has been shown that the proposed pre-processing method allowed for the achievement of suitable segmented objects for later matching, even using global thresholding.
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Hernâni Gonçalves, José A. Gonçalves, and Luís Corte-Real "Automatic image registration through the segmentation of images pre-processed by joint histogram analysis", Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 74770R (28 September 2009); https://doi.org/10.1117/12.829958
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KEYWORDS
Image segmentation

Image registration

Spatial resolution

Earth observing sensors

Image processing

Transform theory

High resolution satellite images

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