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Space object detection and tracking method based on spaceborne image sequence

A technology of image sequence and space object, applied in the field of image processing, can solve the problems of high false alarm rate and inability to guarantee the detection accuracy, and achieve good extraction effect

Active Publication Date: 2018-04-06
SHANGHAI INST OF TECHNICAL PHYSICS - CHINESE ACAD OF SCI
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Problems solved by technology

Currently representative methods include filtering methods such as space domain, frequency domain and time domain, and mathematical morphology processing. However, for the complex cloud background and SCR≤1 detection environment targeted by the present invention, a single filtering method cannot guarantee Detection accuracy, there is a high false alarm rate

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  • Space object detection and tracking method based on spaceborne image sequence
  • Space object detection and tracking method based on spaceborne image sequence
  • Space object detection and tracking method based on spaceborne image sequence

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings.

[0049] figure 1 It is a flow chart of the present invention, and in conjunction with the implementation process of a specific example, a further detailed description of a space target detection and tracking method based on a spaceborne image sequence proposed by the present invention is given. It is 8 bits, the image size is 350×550, and the coordinates of the initial position of the target center in the first frame are (90, 90). For 46 consecutive image frame processing, the specific steps are as follows:

[0050] Step 1: For each image X in the 46-frame image sequence t (t represents the frame number of the current image in the image sequence), using a two-dimensional least mean square filter to filter, and the steps of filtering are as follows:

[0051] 1) For an image X with 350 rows and 550 columns t For example, a sliding window with a size of 3×3 is set, and ...

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Abstract

The invention discloses a space object detection and tracking method based on a spaceborne image sequence, and the method comprises the following steps: (1), carrying out the background estimation ofa space-based image sequence through employing a two-dimensional minimum mean square filter, and taking an obtained residual error image as an initial background inhibition image; (2), generating a dynamic threshold value through the combination of local diversity factor measurement and morphological cap operation, wherein the dynamic threshold value is used for filtering the residual error background clutter again and enhancing a target; (3), employing a connected domain segmentation method, and filtering an inherent noise region of a detector; (4), removing isolated noise points through themotion characteristics of a space target and a multi-frame correlated method. A processing result of the method for a real space-based image sequence indicates that the method can improve the signal to clutter ratio by about 45 times, can achieve the effective detection of a weak and small target, is good in performance, and provides technological support for the space-based optical remote sensing.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a method for detecting and tracking moving weak point targets in the field of space target detection, more specifically, as a method for detecting targets in a sequence of images of cloud backgrounds captured by satellites. Background technique [0002] The problem of spaceborne weak spot moving target detection in complex background has always been one of the hot issues in aerospace research. For satellites in geostationary orbit, the imaging distance is long, and the target appears as a faint point on the image surface without features; at the same time, cloud clutter, other background clutter, system noise and other inherent noise interfere with the detection. The above results in an extremely low signal-to-clutter ratio (SCR≈1), making it difficult to detect space objects. [0003] At present, for the application of the real space-based environment, the research focus...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/187G06T7/194G06T7/20G06T5/50
CPCG06T5/50G06T7/0002G06T7/20G06T2207/10016G06T2207/20024G06T2207/20036G06T2207/20224G06T7/187G06T7/194
Inventor 吕凭乐孙胜利林长青
Owner SHANGHAI INST OF TECHNICAL PHYSICS - CHINESE ACAD OF SCI
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