A moving target motion track prediction method based on hyper-spectrum and an autonomous tracking method

Abstract

The invention relates to a moving target motion track prediction method and an autonomous tracking method based on hyper-spectrum, and the method comprises the steps: carrying out the rapid hyper-spectrum abnormity detection of the hyper-spectrum detection data of a target prediction region through an on-orbit real-time processor, and determining the possible position of a target according to a detection result; according to the obtained possible position of the target, fitting the movement track of the associated target by adopting a least square curve method, removing the movement position of the false alarm target, and determining the real position of the current target; and according to the determined current target position, fitting the associated target motion track by adopting a least square curve method, and predicting the possible position of the target at the next moment according to the target motion track. The hyperspectral-based moving target motion track prediction methodis adopted, the problems that the scanning breadth and the scanning rate are insufficient when a hyperspectral imager conducts autonomous tracking on a moving target are solved, and autonomous tracking measurement on the moving target is achieved.

Description

technical field [0001] The invention relates to a hyperspectral detection technology, in particular to a hyperspectral-based moving track prediction method and an autonomous tracking method for a moving target. Background technique [0002] Hyperspectral imaging technology was developed in the 1980s. It obtains hundreds of continuous fine spectra in a wide spectral range while observing the geometric image of the target in space, and the spectral resolution can reach nm level. Hyperspectral imaging collects the geometric, radiation and spectral information of the target at the same time. It integrates the functions of camera, radiometer and spectrometer to form an image cube. It can obtain the spectral characteristic curve of any pixel on the ground and realize the "fingerprint" recognition of the target. Using hyperspectral detection technology to detect moving targets is a possible effective detection method. [0003] Due to the high spatial and spectral resolution of hyp...

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Problems solved by technology

[0005] The object of the present invention is to provide a hyperspectral-based moving target trajectory prediction method and an autonomous tracking method. The hyperspectral-based moving target trajectory prediction method overcomes the problem of hyperspectral imagers scanning when autonomously tracking a moving target. The problem of insufficient width and scan rate has realized the autonomous tracking and measurement of moving targets

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