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Pavement target identification method based on radar images and similarity weights

A radar image and target recognition technology, applied in the field of image recognition, can solve problems such as road target recognition

Pending Publication Date: 2020-10-20
JINLING INST OF TECH
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

The invention provides a road target recognition method based on radar images and similarity weights to solve the problem of road target recognition

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  • Pavement target identification method based on radar images and similarity weights
  • Pavement target identification method based on radar images and similarity weights
  • Pavement target identification method based on radar images and similarity weights

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Embodiment Construction

[0058] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0059] The road target recognition method based on radar images and similarity weights uses the ability of CNNs to extract SAR image features, extracts the image features of road target SAR images, eliminates the translation sensitivity and attitude sensitivity of SAR images, and at the same time in the CNNs network loss function A regularization function is introduced to eliminate the overfitting problem of the model. Finally, in order to distinguish the classification contribution of different features, a classification method of similarity weight is proposed to output the classification result of the image. The overall algorithm principle flow process of the present invention is as figure 1 As shown, the algorithm steps are as follows:

[0060] Step 1: Acquire experimental data: use the synthetic aperture radar detection system to monitor t...

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Abstract

The invention relates to a pavement target identification method based on radar images and similarity weights. The method comprises the following steps: firstly extracting pavement target image features through employing a CNNs model in order to achieve the better expression of the pavement target features and solve problems of SAR image translation sensitivity and attitude sensitivity of a pavement target; in order to utilize the classification contribution degree of each image feature, calculating the similarity weight of each image feature by using a similarity weight formula; and finally,obtaining a classification result of the pavement target by combining the similarity weights of the image features and the sample distance.

Description

technical field [0001] The invention relates to the field of image recognition, and particularly designs a road target recognition method based on radar images and similarity weights. Background technique [0002] With the development of technologies such as artificial intelligence, advanced driver assistance systems / autonomous driving systems have become a research hotspot around the world in recent years. As an all-weather perception method, radar plays an important role in advanced driver assistance systems / automatic driving systems. Road target recognition based on radar systems has important scientific significance and engineering value. Radar target recognition aims at detecting, locating and identifying targets by analyzing radar echo signals. The present invention analyzes, models and recognizes characteristics of road targets, and improves the classification accuracy of road targets through the similarity weight of target classification. [0003] Synthetic Aperture...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/13G06N3/045G06F18/2415G06F18/214
Inventor 陈曼华
Owner JINLING INST OF TECH
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