Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for intelligently extracting inventory of oil storage tank based on remote sensing image

A remote sensing image and oil storage tank technology, applied in the field of remote sensing image recognition, can solve the problems affecting the accuracy of the algorithm and test time, and the complexity of the background environment information, so as to ensure the accuracy of prediction, improve the detection efficiency and reduce the detection error.

Pending Publication Date: 2021-05-04
中科星图空间技术有限公司 +1
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method mostly detects natural scenes, and the higher the resolution of the remote sensing image, the larger the range, and the more complex the background environment information, which can affect the accuracy and test time of the algorithm to a certain extent.

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for intelligently extracting inventory of oil storage tank based on remote sensing image
  • Method and device for intelligently extracting inventory of oil storage tank based on remote sensing image
  • Method and device for intelligently extracting inventory of oil storage tank based on remote sensing image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] In this disclosure example, open-source images and Gaofen-2 images are used as data sources. One is to make a remote sensing image data set, the other is to establish a target detection model, and obtain the optimal model for training by adjusting the model parameters, the third is to extract the shadow contour and calculate the volume of the oil tank, and the fourth is to estimate the volume of the oil tank block by block after the image is divided into blocks. Then merge them into a full image. In the embodiments of the present disclosure, the tested oil tank is a floating roof oil tank.

[0036] The method for intelligently extracting oil storage tank inventory based on remote sensing images described in the disclosed examples can be applied to rapid detection and volume estimation of floating-roof oil tank targets in remote sensing images.

[0037] Examples of the present disclosure figure 1 The detailed steps shown include:

[0038] The first step is to create a...

Embodiment 2

[0054] The embodiment of the present disclosure discloses a device for intelligently extracting oil storage tank inventory based on remote sensing images, such as Figure 7 The shown includes an identification module, a segmentation module, a calculation module and a combination module; the identification module is used to identify the oil tank included in the remote sensing image to be processed; the segmentation module is used to divide the remote sensing image to be processed into several image blocks; The calculation module is used to clip the oil tanks included in each image block using a bounding box, and use the transformation of HSV and LAB color spaces to enhance the shadow features of the clipped oil tanks to obtain an enhanced image; The enhanced image is filtered; the filtered enhanced image is morphologically processed to extract the shadow area of ​​the oil tank; the oil storage capacity of the oil tank is calculated according to the shadow area of ​​the oil tank ...

Embodiment 3

[0057] According to another specific embodiment of the present disclosure, the electronic device for intelligently extracting oil storage tank inventory based on remote sensing images includes a memory and a processor; the memory is used to store computer programs; the processor is used to execute the computer When programming, the computer is made to execute the method for intelligently extracting oil storage tank inventory based on remote sensing images in the first embodiment above, and the specific extraction steps are the same as those in the first embodiment above, and will not be repeated here.

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

PUM

No PUM Login to View More

Abstract

The invention discloses a method and device for intelligently extracting the inventory of an oil storage tank based on a remote sensing image, and belongs to the field of remote sensing image recognition. The method is characterized by comprising the steps of recognizingan oil tank included in the to-be-processed remote sensing image; segmenting the remote sensing image to be processed into a plurality of image blocks; cutting shadow features of the oil tank from the oil tank included in each image block to obtain an enhanced image; filtering the enhanced image through a preset threshold value; performing morphological processing on the filtered enhanced image, and extracting a shadow area of the oil tank; calculating the oil storage quantity of the oil tank according to the shadow area of the oil tank and marking the oil storage quantity by using a bounding box; and combining all the image blocks into a complete image with an oil reserve bounding box. The method takes the segmented image blocks as objects, not only can guarantee the prediction accuracy and meet application requirements, but also can improve the detection efficiency of large-scale image target detection, and has important practical significance for detecting mass remote sensing data in a short time.

Description

technical field [0001] The invention belongs to the field of remote sensing image recognition, in particular to a method and device for intelligently extracting oil storage tank inventory based on remote sensing images. Background technique [0002] The status and production of oil has been highly regarded for many years. In the oil strategy, how to quickly estimate the current global oil reserves and forecast changes in production is the key to determining oil procurement and transportation measures, and they also have a very wide range of roles and functions in social and economic development. [0003] In recent years, remote sensing technology has developed rapidly, remote sensing images in various regions of the world are easier to obtain, the resolution is getting higher and higher, and the spatial, temporal and spectral resolution of data is continuously improving, making more and more applications based on remote sensing images possible . Floating Roof Oil Tank is a...

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

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/00G06K9/62G06T5/00G06T7/11
CPCG06T7/11G06T2207/10032G06T2207/20021G06T2207/20036G06T2207/20081G06T2207/20132G06V20/13G06F18/23213G06F18/24G06F18/214G06T5/90G06T5/70
Inventor 刘继东赵波康晓华赵樊李春锋贺战波朱立博卢彦林
Owner 中科星图空间技术有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com