Oil storage tank detection method based on high-resolution optical remote sensing image

A technology of optical remote sensing image and detection method, which is applied in the field of optical remote sensing image processing, can solve problems such as insufficient applicability, and achieve the effect of improving accuracy and huge application value

Pending Publication Date: 2021-02-19
CHANGGUANG SATELLITE TECH CO LTD
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Problems solved by technology

On this basis, YOLOv4 released by Bochkovskiy in 2020 proposed five improvement methods and more than 20 techniques for YOLOv3, and its average accuracy and spe

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  • Oil storage tank detection method based on high-resolution optical remote sensing image
  • Oil storage tank detection method based on high-resolution optical remote sensing image
  • Oil storage tank detection method based on high-resolution optical remote sensing image

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[0045]The technical solutions in the embodiments of the present invention will be described in conjunction with the drawings in which the accompanying drawings in the embodiments of the present invention will be apparent from the embodiments of the present invention, not all of the embodiments of the invention, not all of the embodiments. Based on the embodiments of the present invention, there are all other embodiments obtained without making creative labor without making creative labor premises.

[0046]A reservoir detection method based on a high-resolution optical remote sensing image, and the oil tank detection method comprises the steps of:

[0047]Step 1: Production of oil storage tank data set based on high resolution optical remote sensing images;

[0048]Step 2: Training the oil tank data set by using the YOLOV4 algorithm to obtain the training result data set I;

[0049]Step 3: Optimize the YOLOV4 algorithm by using the Anchor Boxes and the Non-Large Suppression Algorithm;

[0050]Step ...

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Abstract

The invention discloses an oil storage tank detection method based on a high-resolution optical remote sensing image. The method comprises the steps of 1, making an oil storage tank data set based onthe high-resolution optical remote sensing image; 2, training the oil storage tank data set by using a YOLOv4 algorithm to obtain a training result data set I; 3, optimizing the YOLOv4 algorithm by using Anchor Boxes and a non-maximum suppression algorithm; 4, training the oil storage tank data set in the step 1 by using the YOLOv4 algorithm optimized in the step 3 to obtain a training result dataset II; and 5, comparing the data set I with the data set II to obtain a data set II identification accuracy of the oil tank superior to the data set I identification accuracy of the oil tank. The method is used for identifying and classifying the fixed-roof oil tank and the external floating-roof oil tank and analyzing the crude oil reserves of the external floating-roof oil tank.

Description

technical field [0001] The invention belongs to the field of optical remote sensing image processing, in particular to an oil storage tank detection method based on high-resolution optical remote sensing images. Background technique [0002] In recent years, with the rapid development of technologies related to high-resolution optical satellite remote sensing images, the increase in the frequency of satellite shooting and the improvement of the resolution of remote sensing images, research teams at home and abroad have obtained more and more reliable data support, and have made great achievements in the field of object detection. A lot of results. Among these achievements, the identification of naturally formed or man-made objects (such as oil storage tanks) on the ground has been widely concerned by practitioners as a challenging research. Oil storage tanks are equipment used in the oil, gas, and petrochemical industries to store crude oil or chemical products that are liq...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/13G06F18/23213G06F18/214
Inventor 李想特日根仪锋陈文韬胡坤
Owner CHANGGUANG SATELLITE TECH CO LTD
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