Aerial Image Mosaic Cutting Edge Determination
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Solution Overview
Problem
The challenge lies in determining the optimal cutting edges of overlapping aerial images to minimize data redundancy while ensuring real-time transmission and assembly of aerial image mosaics, particularly in airborne earth remote sensing, where varying flight parameters and camera orientations complicate the identification of constant overlaps.
Innovation Solution
A method utilizing an elevation model and camera projection models, combined with a position and orientation measuring system, determines the cutting edges by calculating pixel positions and lines across multiple camera positions, adjusting for rotations and terrain structure to eliminate gaps and minimize redundant data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data reduction is performed by discarding redundant overlapping image data, then data transmission volume is reduced, but information loss or gaps in the aerial image mosaic may occur
Solution Approach 1:
The patent segments the aerial image mosaic into discrete image footprints from multiple cameras, determining individual cutting edges for each image based on its specific overlap with adjacent images. This segmentation allows precise control over which data to retain and which to discard, ensuring minimal data transmission while maintaining complete coverage without gaps in the final mosaic.
2Ease of manufacture
If cutting edges are determined based on constant overlap assumptions, then data reduction is simplified, but accuracy decreases when flight parameters and camera orientations vary
Solution Approach 1:
The patent implements a dynamic approach where cutting edges are determined individually for each image based on its actual position and orientation parameters. Rather than assuming constant overlap, the system calculates cutting edges in real-time using measured flight parameters and camera orientations, adapting to varying conditions while maintaining accuracy in the aerial image mosaic assembly.
3Reliability
If all overlapping image data is transmitted to ensure complete coverage, then information completeness is maintained, but data transmission efficiency decreases
Solution Approach 1:
The patent performs preliminary determination of cutting edges before data transmission, using pre-acquired position and orientation parameters to identify which image portions are redundant. This preliminary action allows the system to discard known redundant data in advance, transmitting only essential unique information while ensuring complete mosaic coverage, thereby improving transmission efficiency without compromising reliability.
Data Source
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AI summary
The invention relates to a method and a device (1) for determining the leading edges (S1, S2) of two overlapping image captures of a surface (OF), comprising at least one camera (2) having a matrix-type sensor (6), having n lines (7), a position and location measuring system (3), an evaluation unit (4) and a storage means (5), wherein an elevation model (H) of the surface (OF) and a projection model (P) of the camera (2) are stored in the storage means (5), which the evaluation unit (4) can access, wherein the camera position (P1, P2) in the first and second image capture is determined by means of the position and location measuring system (3), wherein a horizontal mid-point (M) between the two camera positions (P1, P2) is determined and a projection of the mid-point (M) onto the surface (OF) is carried out, wherein a back projection onto the sensor (6) is carried out in the first and second camera position (P1, P2) by means of the projection model (P) for the point (MO) determined in the above-mentioned manner and a respective pixel is determined, wherein the respective line of the sensor (6) is determined, four solid angles (RW1-4) of the respective first and last pixel (Pix1-4) of the lines (7.Z1 M0, 7.Z2M0) are determined and their leading points (SP1-SP4) are determined with the elevation model (H), mid-points (M1, M2) are determined between the leading points and projected back into the sensors in the first and second position, associated lines are determined, wherein the smallest determined line (7.MIN1) is selected as the leading edge (S1) for the first camera position (P1) and the largest determined line (7.MAX2) is selected as the leading edge (S2) for the second camera position (P2).