Time-sensitive object in-orbit detection method

Abstract

The invention discloses a time-sensitive object in-orbit detection method. The method comprises the following steps: step S1, selecting various time-sensitive object training areas on historical images, extracting high-dimensional multiple-dimensioned concentric circular cluster direction gradient characteristics from each pixel of each training image, and learning structure dictionaries of various time-sensitive objects in an offline mode; step S2, extracting the high-dimensional multiple-dimensioned concentric circular cluster direction gradient characteristics at each pixel on the image of each current in-orbit time phase, by use of the structure dictionaries, solving time-sensitive object type indication vectors, according to the structural sparse characteristics of the time-sensitive object type indication vectors, identifying positions of suspicious objects and types of the suspicious objects, and extracting suspicious object areas; step S3, analyzing the loci of the suspicious object areas detected on the in-orbit images of the different time phases, and according to the singularity of motion loci, identifying the time-sensitive objects in an in-orbit mode; and step S4, taking the images of the in-orbit time-sensitive objects as training images of the structure dictionaries for in-orbit increment updating, and returning to step S1.

Description

technical field [0001] The invention relates to the technical fields of on-orbit image processing, target detection, target recognition, target monitoring, etc., in particular to an on-orbit detection method of a time-sensitive target. Background technique [0002] Compared with ordinary targets, time-sensitive targets have strong timeliness, and time-sensitive targets must be identified within a limited time window, which is fleeting. At the same time, time-sensitive targets are often very important targets, once the opportunity of identification is lost, it will cause heavy losses. Therefore, the detection and recognition of time-sensitive targets has important research significance, but at the same time it is more challenging. [0003] With the development of high spatial resolution and high temporal resolution remote sensing satellites, it becomes possible to detect and identify time-sensitive targets using satellite images in orbit. Compared with other means of data a...

AI Technical Summary

Problems solved by technology

However, the above-mentioned key technologies are currently very immature, which limits the practical application of online detection of time-sensitive targets.

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