Remote sensing image thin and weak target segmentation method
A remote sensing image and target segmentation technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as poor recognition accuracy of thin targets in remote sensing images, inconspicuous features of thin targets in remote sensing images, and unbalanced categories. , to improve the accuracy of network segmentation, avoid the decline of learning speed, and achieve the effect of accurate segmentation effect.
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[0045] The present invention will be further described through actual cases below in conjunction with the accompanying drawings, but the scope of the invention will not be limited in any way. The present invention proposes a new method for precise segmentation of remote sensing image faint targets based on deep learning theory, and the specific network model used is shown in Figure 1. attached figure 2 It is the overall flowchart of the inventive method, and the present invention mainly comprises the following steps:
[0046] Step 1: For the input original image, a series of data preprocessing methods such as random cropping, size scaling, angle transformation, affine transformation, random noise addition, filtering processing, and brightness change are first used to perform image enhancement and data expansion on the original image. At the same time, because the number of weak targets in the data samples is often uneven in different backgrounds, and background interference i...
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