Open AccessDetection Probability for Moving Ground Target of Normal Distribution Using an Imaging Satellite
Author(s) -
Guo Zhaoming,
Jiang Yi,
Bi Shihua
Publication year - 2018
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2018.08.005
Subject(s) - satellite , probability distribution , remote sensing , computer science , entropy (arrow of time) , ground truth , principle of maximum entropy , maximum entropy method , computer vision , artificial intelligence , physics , mathematics , geology , statistics , astronomy , statistical physics , quantum mechanics
The detection probability for a moving target is an important issue, we aim to discuss the detection probability for a moving ground target such as military vehicles using a visible light imaging satellite. First, a basic detection model for a regional ground target using a satellite was discussed and the probability of detection was calculated. Next, a basic model for the recognition of a ground target using a visible light imaging satellite was developed based on above model. Then, a basic model of the detection probability for a moving ground target using a visible light imaging satellite was studied. As the normal distribution has the maximum entropy, the normal distribution of a moving ground target such as military vehicles was analyzed, and based on our conclusions, a basic probability model for the detection of a moving ground target using a visible light satellite was developed. Finally, the simulation was carried on.