Remote Sensing Ship Recognition Method Based on Dense Feature Fusion and Pixel-Level Attention

A feature fusion and attention technology, applied in character and pattern recognition, scene recognition, instruments, etc., can solve the problems of easy overlapping of bounding boxes, dense distribution, and large scale span of ship targets, so as to improve recognition stability and improve Visual effects, the effect of improving recognition accuracy
CN111563473BActive Publication Date: 2022-03-18UNIV OF ELECTRONICS SCI & TECH OF CHINA
5 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2022-03-18

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention belongs to the field of image target recognition, and provides a remote sensing ship recognition method based on dense feature fusion and pixel-level attention. Target recognition is a target, a large number of small targets are missed, and bounding boxes are easy to overlap. The main scheme is to divide the remote sensing image data set into data sets, obtain the training set and test set, and perform data enhancement on the training set; calculate the RGB three-channel average value r of the original remote sensing image data set mean , g mean , b mean , the RGB three-channel value of the image in the expanded data set and r mean , g mean , b mean Corresponding subtraction; input the obtained data set into the improved Faster RCNN network for training, the core modules of the network are dense feature fusion network and pixel-level attention network, and the network outputs candidate rotation boxes and their category scores; The non-maximum suppression of the rotating frame based on the skew IOU can obtain the recognition result of the ship target in the remote sensing image.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to a remote sensing ship recognition method based on dense feature fusion and pixel-level attention, and belongs to the field of target recognition in remote sensing image processing. Background technique

[0002] With the substantial increase in the real-time and operability of remote sensing technology, various remote sensing image products are developing towards the goal of multi-scale, multi-frequency, all-weather, high-precision, high-efficiency and fast. In the face of massive remote sensing images, manual interpretation is no longer competent, and data processing such as secondary information extraction and target recognition of remote sensing images has become more and more important, and has become the main research direction of remote sensing images. For the processing of remote sensing images It increasingly reflects the structure of the entire field and the most important measure of the level of software and hardware. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More