Journal of Xidian University ›› 2021, Vol. 48 ›› Issue (2): 84-91.doi: 10.19665/j.issn1001-2400.2021.02.011

• Special Issue: Advances in Radar Technology • Previous Articles     Next Articles

Ship length distribution modeling on China offshore and ability evaluation of radar ship classification

LI Shan(),ZHNAG Kun(),SHUI Penglang()   

  1. National Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China
  • Received:2020-10-07 Revised:2021-01-06 Online:2021-04-20 Published:2021-04-28


Radial size estimation using radar high-resolution range profiles(HRRPs) and heading angle estimation are the main means for ship classification.The classification ability is closely related to the range resolution of the radar,precision of radial size estimation,and prior distribution of ship lengths in different offshore areas.We collected the AIS information on about 30 000 ships and their lengths in the four offshore areas of China in the ship information net of China.By fitting the data of ship lengths in each offshore area,it is found that the Weibull distributions provide good-of-fitness to the ship lengths and the parameters in individual area are rather different.Based on the prior distributions of ship lengths,we derived the quantitative relationship between the correct classification probability of big-moderate-small ships and the estimate error of ship radial size.The results indicate that the condition for the big-moderate-small correct classification probability in the offshore areas of China to be up to 90% is that the estimate errors of the ship radial size estimates falls into the interval(-12.67 m,9.41 m) when the heading angle of the ship is between ±75 degrees.

Key words: ship length, Weibull distribution, estimate error of ship radial size, correct classification probability

CLC Number: 

  • TN959.72