Abstract
Abstract. Epipolar geometry rectification is one of the critical issues in photogrammetry, which is a strong corresponding searching constraint in dense image matching for 3D reconstruction. In this paper, the properties of the projection trajectory-based epipolarity model are analyzed quantitatively, and the approximate straight line and parallelism property of the epipolar curve are discussed comprehensively using the linear pushbroom satellite images, i.e. IKONOS, GeoEye images. Based on the analysis of the epipolar line properties, a practical method for epipolar resampling developed. In this method, the pixelwise relationship is established between the original and the epipolar images. The experiments on TH-1 images show that quasi rigorous epipolar images can be resampled using our proposed method for both along-track images. After epipolar geometry rectification, the vertical parallaxes at checkpoints can achieve sub-pixel level accuracy, thus demonstrating the correctness and applicability of the proposed method.
Highlights
Linear-array pushbroom imaging sensors have been the leading payload of current high-resolution optical satellites
It is of importance to analyze the conjugate property of the projection trajectory (PT)-based epipolarity model
In order to verify the conjugate characteristic of the epipolar line, the same experimental method is adopted from the right image to the left image as shown in Table 3 and Table 4
Summary
Linear-array pushbroom imaging sensors have been the leading payload of current high-resolution optical satellites. Since the geometry of the linear pushbroom imaging sensors model is more complicated when comparing with the collinearity equations of the perspective cameras. The methods of the traditional frame perspective imaging model are no longer universally applicable for the satellite images. The coverage area of high-resolution satellite images is much larger than aerial or street-view images, which results in a vast number of pixels (billion-level pixels). This is how the considerable gap between the photogrammetry and computer vision was created over the past few decades, which should be bridged to benefit each other in scientific development. Research on satellite image epipolarity model and epipolar geometry rectification method has been one of the hot topics in the field of aerospace photogrammetry and remote sensing
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