Optical remote sensing image ship detection method

Abstract

The invention discloses an optical remote sensing image ship detection method. In order to solve the problems that according to an existing medium and high spatial resolution optical remote sensing image ship detection algorithm, the detection success rate is greatly influenced by the water surface condition, and the false detection and misjudgment are serious. On the basis of water information enhanced processing, water spectrum information and spatial structure information are comprehensively utilized to evenly segment a water surface homogeneous region, meanwhile, the optimal background probability density function is acquired through a statistic test method so that optimal CFAR ship target detection can be achieved, influences of background noise are effectively reduced, the method can effectively adapt to the image situation that water surface backgrounds are variable because of wind waves and water turbidity, and the ship detection rate is improved. Compared with a traditional ship detection technology based on target threshold value segmentation, the accuracy and the stability of the method are both more superior obviously, and the business application capacity of medium and high spatial resolution optical remote sensing data in the ship detection field can be improved.

Description

technical field [0001] The invention belongs to the technical field of satellite remote sensing target extraction, in particular to a medium spatial resolution optical remote sensing image ship target detection method. Background technique [0002] Ship detection and recognition is a hot topic in the field of remote sensing image processing and pattern recognition. It can be applied to shipping monitoring, safety management department monitoring and combating illegal fishing, mining and other illegal activities. It is also of great significance in the military field. Ship detection based on remote sensing mainly includes two research directions based on different data sources: based on synthetic aperture radar SAR data and based on optical (including medium and high spatial resolution) remote sensing images. SAR data has all-weather and all-weather monitoring capabilities. At present, the more commonly used Constant False Alarm Rate (CFAR) method adaptively selects the thres...

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Problems solved by technology

[0003] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a ship detection method for optical remote sensing images, which is an automatic / semi-automatic medium spatial resolution optical remote sensing image ship target detection method to solve the problem of ship detection efficiency in complex water environments. Problems with low and low precision

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