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An online target detection method for near real-time remote sensing images based on image streaming

A target detection algorithm and target detection technology, applied in the field of online target detection of near real-time remote sensing images based on image streams, can solve the problems of data waste, lack of automatic remote sensing information mining and analysis capabilities, etc., to achieve automatic extraction and recognition, automatic Improvement of detection ability and real-time performance, effect of excluding background data

Active Publication Date: 2021-06-08
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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Problems solved by technology

[0007] 2) The current remote sensing product production system lacks automatic remote sensing information mining and analysis capabilities, and there is data waste

Method used

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  • An online target detection method for near real-time remote sensing images based on image streaming
  • An online target detection method for near real-time remote sensing images based on image streaming
  • An online target detection method for near real-time remote sensing images based on image streaming

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Embodiment Construction

[0038]In order to make it easier for those skilled in the art to understand the technical solution of this patent, and at the same time, in order to make the technical purpose, technical solution and beneficial effect of this patent clearer, and to fully support the protection scope of the claims, the following is a specific case in the form of this patent. The technical solution of the patent makes further and more detailed descriptions.

[0039] Such as Figure 4 As shown, a near-real-time remote sensing image online target detection method based on image stream, which includes the following steps:

[0040] (1) Obtain the basic parameters of the image, including the total number of rows H of the image, the column width W of the image, and the image resolution λ;

[0041] (2) Read the target parameter configuration file to obtain the maximum size S of the target;

[0042] (3) Calculate the maximum number of pixels M=S / λ occupied by the target, and round up M;

[0043] (4) ...

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Abstract

The invention discloses an image stream-based near real-time remote sensing image online target detection method, which belongs to the technical field of remote sensing image processing. It includes acquiring the basic parameters of the image, acquiring the maximum size of the target, calculating the maximum number of pixels occupied by the target, acquiring the time computational complexity function of the target detection algorithm, calculating the number of image blocks that need to perform target detection, and calculating the total computational complexity of image division , Find the number of lines detected each time, use the target detection algorithm to perform target detection on the block image and other steps. The invention can perform image target detection while image production is performed, can reduce remote sensing image storage resources and computing resources, and has extremely low computational complexity in block processing.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to an image stream-based near real-time remote sensing image online target detection method. Background technique [0002] With the rapid development of satellite remote sensing technology, especially the development of high-resolution remote sensing technology, multi-source, high-resolution remote sensing data is growing explosively, and the storage and processing of remote sensing data has encountered unprecedented challenges. In remote sensing image applications, such as military applications, users are often interested in the part of the image that contains the target. For these users, a large number of background images are invalid information, and the storage and processing of these data not only waste a large amount of storage and computing resources, but at the same time, the effective information is submerged in the massive data, making it more diffi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/20
CPCG06V20/13G06V10/10G06V10/16
Inventor 王敏陈金勇高峰许妙忠
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP