Method and system for detecting and segmenting vehicle in aerial image

A technology for vehicle detection and aerial imagery, applied in the field of image processing, to achieve the effects of reducing impact, improving vehicle detection and segmentation effects, high precision and robustness

Active Publication Date: 2020-08-28
SHANDONG UNIV
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  • Abstract
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[0008] The current image processing technology ...

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  • Method and system for detecting and segmenting vehicle in aerial image
  • Method and system for detecting and segmenting vehicle in aerial image
  • Method and system for detecting and segmenting vehicle in aerial image

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Embodiment Construction

[0046] The present disclosure will be further described below in conjunction with the accompanying drawings and embodiments.

[0047] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0048] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

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Abstract

The invention provides a method and system for detecting and segmenting a vehicle in an aerial image. The method comprises the steps: extracting a feature map of a remote sensing image through a deepconvolutional neural network, and constructing a feature pyramid according to different scales of the feature map; performing adaptive feature fusion on the multilayer features in the original featurepyramid network, and outputting a new multi-scale feature map; extracting regions of interest corresponding to different scales from the multi-scale features by using a region proposal network; and sending the region of interest into a three-head network based on an attention mechanism for classification, bounding box regression and mask segmentation to obtain a classification result, a horizontal bounding box regression result and a mask segmentation result. According to the invention, the method can remarkably improve the vehicle detection and segmentation effects, and is higher in precision and robustness.

Description

technical field [0001] The disclosure belongs to the technical field of image processing, and in particular relates to a method and system for vehicle detection and segmentation in aerial images. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the rapid development of automation equipment, the detection technology of application scenarios such as traffic monitoring is also developing rapidly. At present, in the process of traffic monitoring, it is very common to use aircraft, drones and other equipment to obtain pictures / images. [0004] However, to the inventors' knowledge, there are several challenges in processing drone-acquired images to extract valid vehicle information, including: [0005] Arbitrary orientations of captured vehicles: Vehicles in aerial images often appear in arbitrary orientations due to viewpoint changes and...

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/584G06V10/26G06V2201/08G06N3/045G06F18/254G06F18/253Y02T10/40
Inventor 刘春生张旺常发亮李爽
Owner SHANDONG UNIV
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