The set of suspected targets detected in the scene captured by the photoelectric theodolite must contain many interference targets with complex grayscale/shape/dynamic characteristics, resulting in the failure of target capture. Aiming at the problem of anti-interference stable capture scenario, it is mainly classified and identified from the aspects of the continuity of the change in the time domain and airspace of the target and the interference characteristics, as well the characteristics differences. This paper proposes a Target anti-jamming acquisition method based on decision tree classification technology, which is aimed at the problem of stable acquisition. First, it analysis of target/interference characteristics. based on the analysis of shape/ratiation/motion characteristics of historical images and scenes, the machine offline semi -supervised learning method of the decision tree method is adopted to form reference feature set by selecting multiple features of the target/interference. Secondly, on the basis of the target/interference feature extraction, binary tree classifier is used in online processing. According to a reference feature layer by layer, the relationship between the feature and the statistical feature of the image is associated, the change of the target feature is perceived, and the suspected target set to be detected is discriminated and classified one by one, so as to identify the target and eliminate the interference target.
KEYWORDS: Target detection, Pulsed laser operation, Photon counting, Pulse signals, Signal detection, Data processing, Ranging, Detection and tracking algorithms, Signal to noise ratio
Aiming at the method of photon counting laser ranging data processing for high-speed dynamic moving targets, a photon counting laser ranging data processing method based on polynomial motion delay compensation is proposed. This data processing method effectively improves the signal-to-noise ratio of high-speed moving targets through target motion polynomial modeling, multi-pulse motion delay compensation and accumulation. The simulation data is generated by the method of superimposing the real background noise to simulate the target echo, and the algorithm is verified. The results show that when the laser echo rate is 0.53% and the background noise rate is 2.57×106count/s, the target can still be accurately detected, which is equivalent to increasing the operating distance by about 1.43 times. The maximum distance measurement error is 0.29 meters, which is close to the distance resolution, effectively ensuring the distance measurement accuracy under weak signals.
In the field of conventional weapon test and identification, optical measurement is often used to measure the exterior ballistic parameters of targets. With the variety of measuring equipment and measuring bands such as visible light/medium-wave/long-wave, the profile/shape and radiation/luminance distribution of the exhaust plume target imaging in the optical measurement system are great different, so that the target interpretation position changes greatly with the change of the exhaust plume .The variation of the plume depends on the flight state of the weapon system, inmost cases there is no prior data support, we judge by the experience of the surveyors, so this processing mode affects the credibility of the measurement data, especially in the case of high precision requirements such as characteristic parameter and miss distance processing. Aiming at the Consistency problem of multispectral imaging data of the exhaust plume target, using the inversion imaging method of fluid numerical simulation to characterize the multispectral imaging of the weapon system under various flight states, and theoretically evaluate the imaging deviation. Whether this method is feasible depends on accuracy of the wake simulation calculation meets the actual needs. For this reason, the wake combustion products and their components of a certain type of rocket are studied. Based on the plume component analysis, establish a plume directional radiation calculation model. Through the close acquisition of the visible light/ medium-wave/long-wave images in the initial stage of the rocket, the profile characteristic parameters are compared with the simulated radiation images obtained by numerical simulation. The results show that ,the main body of the exhaust plume edge error is located within ± 20%, and the comparison result in the core area of the exhaust plume is better than ±10%,so the profile data of the core area can be used as the reference for consistency analysis. This method breaks through the current situation of systematic error estimation based on experience in theory, and has high guiding significance for the evaluation of the processing accuracy of external ballistic test data.
In view of the problems of occlusion and deformation identification and stable tracking, especially the problems of occlusion detection, template update strategy and recapture after long term occlusion under complex background, an engineering implementation of anti-occlusion and anti-deformation tracking method is proposed. And an improved kernel correlation filter based on background prediction and multi-level progressive detection is designed. The algorithm completes the detection and recognition of occlusion and deformation. The method effectively improves the detection efficiency and tracking reliability when the target is occluded and deformed in the complex underground.
With the increase of test images and simulation images in experimental field and simulation experiments.How to effectively manage these data becomes an urgent problem to be solved.This paper mainly conducts in-depth research on the input,annotation and management of image samples in the image database.The paper introduces the design and development of the database,and completes the specific application of the experimental task in image sample management database.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.