Rapid segmentation method for remote sensing image port water surface target
A technology for water surface targets and remote sensing images, applied in the field of remote sensing image processing, can solve the problems of inability to meet real-time requirements, high computational complexity, poor robustness, etc., and achieve the effects of improving target recognition speed, simple calculation, and improved accuracy.
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[0025] Specific implementation mode 1. Combination Figure 1 to Figure 7 Describe this embodiment, a kind of rapid segmentation method of remote sensing image port water surface target, this method is realized by the following steps:
[0026] 1. Image preprocessing: Through thresholding, morphological operations and other steps, the original image is binarized, and the sea and land segmentation is initially realized.
[0027] The histogram containing the port image can be considered as a mixed Gaussian distribution (MoG: Mixture of Gaussians), which consists of two Gaussian distributions. The gray value range of the ocean area can be estimated by the EM (Expectation Maximization Algorithm) iterative algorithm. In this embodiment, the picture size is 4329×7696 pixels, combined with figure 2 .
[0028] First, the image is down-sampled to improve the computing speed and reduce the amount of data processing; then the image is thresholded (threshold is calculated to be 50 in thi...
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