Open AccessFeature extraction and recognition of non-resolved space object from space-based spectral data
Author(s) -
Chengming Sun,
Fei Zhao,
Y. R. Yan
Publication year - 2015
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.64.034202
Subject(s) - object (grammar) , scale space , computer science , feature extraction , pattern recognition (psychology) , artificial intelligence , space (punctuation) , feature (linguistics) , cognitive neuroscience of visual object recognition , inverse , feature vector , computer vision , property (philosophy) , mathematics , geometry , image processing , image (mathematics) , linguistics , philosophy , epistemology , operating system
The location and intensity of non-resolved space object can be obtained in space-based surveillance, however, the material, size, and status of the object are lost. Spectrum represents the inherent property difference of the object, which can be used as an important means for feature extraction and recognition of non-resolved space object. According to the influence factors, including material, structure, background and orbit, a mathematical model for spectral properties of space object is established. Based on the model, inverse calculation method for feature extraction and recognition of space object is proposed. Taking the HuanJing-1 satellite scale model as an example, experimental verification for feature extraction and recognition of space object in typical parameters is made. Experimental results demonstrate the validity of the modeling method.