Rapid ship target detection method, storage medium and computing equipment

A target detection and ship technology, applied in the field of image processing, can solve problems such as too deep or cumbersome intermediate processing

Pending Publication Date: 2020-11-10
XIDIAN UNIV
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Problems solved by technology

[0003] Based on the dataset HRSC2016, target detection methods with high MAP for ships at this stage, such as R2CNN, RC1&RC2, RRPN, R2PN, RetinaNet-H, RRD, RetinaNet-R, RoI-Transformer, R3Det, ​​etc., are changing the input image. size, or to imp...

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  • Rapid ship target detection method, storage medium and computing equipment
  • Rapid ship target detection method, storage medium and computing equipment
  • Rapid ship target detection method, storage medium and computing equipment

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Embodiment Construction

[0056] The invention provides a fast ship target detection method based on feature pyramid and regional center correction, builds a feature pyramid full convolution network and a double-branch module; generates a training set; trains a feature pyramid full convolution network and a double-branch module; Input the data to be detected into the network to generate target detection results; the present invention strengthens the training classification branch and fits a small number of target frames to the positioning branch to strengthen the network fitting ability, and obtain high performance on the shallow network. It achieves the effect of high real-time and high accuracy, and can be used to quickly and accurately detect the target frame of the target from the image of the ship or other data sets to obtain the target label.

[0057] see figure 1 , the present invention a kind of fast ship target detection method based on feature pyramid and region center correction, comprises t...

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Abstract

The invention discloses a rapid ship target detection method, a storage medium and computing equipment, and the method comprises the steps: establishing a feature pyramid full-convolution network anda double-branch module which sequentially comprise an input layer, a feature extraction layer, a feature fusion layer and an output layer, determining a ship data set, inputting a generated training set into the built feature pyramid full-convolution network, and generating a target detection result. According to the method, the ship in the image can be rapidly and accurately detected; and the detection result is accurate and rapid, the requirement on embedded equipment is low, and the method has very high practical application value in various aspects such as military affairs, civil use and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a fast ship target detection method based on feature pyramid and region center correction, a storage medium and a computing device. Background technique [0002] With the rapid development of aerospace technology and sensor technology in various countries, the scale of remote sensing image data that humans can obtain continues to increase, and the image quality continues to increase. Compared with traditional low-resolution remote sensing images, high-resolution remote sensing images have a complex background layout and can express more fine information such as texture structure and spatial layout. Typical ground objects in high-resolution remote sensing images are aircraft, ships, and buildings. These objects have different appearances such as color and shape, and have the characteristics of large changes in direction and position. Target detection in high-...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V2201/07G06N3/048G06N3/045G06F18/24
Inventor 唐旭杨钰群马晶晶张向荣焦李成
Owner XIDIAN UNIV
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