Crossing bridge and offshore ship joint detection method in onboard remote sensing image

Abstract

The invention relates to a crossing bridge and offshore ship joint detection method in an onboard remote sensing image. The crossing bridge and offshore ship joint detection method comprises the steps of firstly, carrying out otsu self-adaptation threshold segmentation on the onboard remote sensing image, then sequentially carrying out morphology closed operation and morphology open operation on a segmentation result image, obtaining a water body district image, then carrying out binaryzation operation on the water body district image, obtaining a water body district binary image, separating target candidate districts and water body background districts, calculating the area average value of the target candidate districts, checking whether the water body background districts exist around the target candidate district or not, if the value of the area of one target candidate area is larger than the average value and is surrounded by the water body background districts, determining that the target is an offshore ship, and if the value of the area of one target candidate district is smaller than the average value and only two opposite sides of the target candidate district are the water body background districts, determining that the target is a crossing bridge. The crossing bridge and offshore ship joint detection method is high in calculating efficiency, real-time processing can be easily carried out on an onboard computer, and the detection false alarm rate is low.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and relates to a method for joint detection of river-crossing bridges and offshore ships in airborne remote sensing images. Background technique [0002] Rapidly detecting strategic targets such as bridges and ships from the remote sensing image data obtained by the airborne remote sensing platform, and obtaining precise positioning and relevant information of the target is an important basis for precise target strikes. At present, most technologies mainly focus on detecting targets such as bridges and ships from remote sensing image data obtained from aerospace remote sensing platforms. The suspected target is detected according to the local contrast information, and then the spatial context information is extracted by using the spatial pyramid matching model to delete the background interference, and the ship detection result is obtained. Chinese patent application No. ...

AI Technical Summary

Problems solved by technology

These technologies directly face the massive data of large-scale scene images, and the computational cost of using complex features to detect targets is bound to be high, and it is difficult to meet the requirements of practicability.

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