Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1835-1840, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1835-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1835-1840, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-1835-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

INFRARED ROTATION PLANE RADAR CHANGE DETECTION

Y. Wang, J. Li, W. Zhang, Y. Xiao, P. Liu, and S. Zhang Y. Wang et al.
  • Institute of land and Resources Engineering, Kunming University of Science and Technology, Kunming, China

Keywords: Infrared Rotation Plane Radar, Change Detection, Depth Information, Mixed Gaussian, Background Modeling

Abstract. The existing change detection method mainly stays on the pixel-level, which is very susceptible to light, shadow, etc. And the complex calculation and analysis for each pixel reduce the detection efficiency. Moreover, there is no modeling determination method to initialize standard deviation of each element for existing mixed Gaussian background modeling methods. In this paper, an improved mixed Gaussian background modeling method is proposed, with the use of infrared rotation plane radar. The relationship between the corrected standard deviation of distance and the detection intensity is used to establish the curve of standard deviation of distance with detected intensity. For each data point, the standard deviation is initialized by the value estimated by the change curve, and the detected distance is used to establish the Gaussian mixture background model. The detection effect of the method is discussed and compared with the traditional Gauss background modeling in the experiment, the result shows that it has certain advantages in processing speed, adaptability to change background and accuracy of change detection.