Optical remote sensing image marine ship target extraction and identification method

Abstract

The invention relates to an optical remote sensing image marine ship target extraction and identification method. The method comprises the following steps: inputting a visible light remote sensing image; performing global detection on the sea surface in the remote sensing image by using a visual saliency method based on covariance joint features to generate a single-scale saliency map; performing downlink sampling on the generated single-scale saliency map, establishing a multi-scale saliency map, and obtaining a final saliency map; calculating a detection threshold value of a sea surface ship target, binarizing the saliency map, and realizing coarse segmentation of the saliency map; establishing a training set and a test set; the feature vectors can be used for training and testing; training a model according to the established framework and positive and negative samples in the training set, and classifying the feature vectors; and according to the established framework and positive and negative samples in the test set, testing the candidate area, and completing the extraction and identification of the optical remote sensing image marine ship target. The sea surface target area can be efficiently searched, the false alarm rate is greatly reduced, and the detection accuracy is improved.

Description

technical field [0001] The invention relates to a method for extracting and identifying targets of ships at sea in optical remote sensing images. Background technique [0002] In recent years, marine remote sensing technology has always been one of the challenging research topics in the field of computer vision, among which ship detection technology is the most promising. With the rapid development of remote sensing information science, ship detection using remote sensing technology is not only used in military fields such as maritime reconnaissance, maritime strike analysis and evaluation, but also in civil fields such as island resource survey, marine exploration, and maritime rescue. important value. [0003] With the increasing ability of remote sensing data acquisition of air and space platforms and the rapid development of high-resolution satellites, more and more remote sensing data can be used for research. From the perspective of data acquisition, the current ship...

AI Technical Summary

Problems solved by technology

[0006] 1. Islands, thick clouds, waves and various uncertain sea conditions lead to a high false alarm rate

[0007] 2. Limitation of visible light imaging sensor parameters, sea clutter interference, and ship wake interference reduce the homogeneity of ship targets

[0008] 3. Self-factors such as the color, texture, size and type of the ship cause the low correlation of the gray level of the target;

[0010] 5. The problem of low detection efficiency caused by different target directions and unobvious features in the detection process

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