InSAR (Interferometric Synthetic Aperture Radar) phase unwrapping method and system in high-noise area based on ant colony algorithm
An ant colony algorithm and phase unwrapping technology, applied in the field of InSAR, can solve the problems of unwrapped, excessively long branch cuts and crosses, inaccurate phase unwrapping results, etc., and achieve the effect of improving accuracy and unwrapping accuracy.
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Embodiment 1
[0051] Please refer to figure 1 , Figure 3 to Figure 8 Shown, the present invention provides a kind of InSAR phase unwrapping method based on ant colony algorithm in high noise area, described method comprises:
[0052] Step S1, comprehensively scan the interferometric phase map, determine the relative coordinates of the residual points, and mark the polarity of the residual points to generate a distribution map of the residual points;
[0053] Step S2, import the ant colony algorithm, initialize the ant colony, and set parameters (including the coordinates of the residual point in the graph, the total number of ant colonies, the initial pheromone, the pheromone volatilization coefficient, the pheromone heuristic factor, the expected heuristic factor, etc.) , randomly place M ants on each residual point, that is, place a total of k ants on all residual points, and place several ants on each residual point;
[0054] Step S3, setting an initial distance threshold (specificall...
Embodiment 2
[0070] Please refer to Figure 2 to Figure 8 As shown, the present invention provides a kind of InSAR phase unwrapping system based on ant colony algorithm in high noise area, and described system comprises:
[0071] The residual point distribution map module is used to comprehensively scan the interferometric phase map, determine the relative coordinates of the residual point, and mark the polarity of the residual point to generate a residual point distribution map;
[0072] Initialize the ant colony module, which is used to import the ant colony algorithm, initialize the ant colony, and set parameters (including the coordinates of the residual points in the graph, the total number of ant colonies, the initial pheromone, the pheromone volatilization coefficient, the pheromone heuristic factor, and the expected heuristic Formula factors, etc.), randomly place M ants on each residual point, that is, place a total of k ants on all residual points, and place several ants on each ...
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