Volume IV-5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 311-316, 2018
https://doi.org/10.5194/isprs-annals-IV-5-311-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 311-316, 2018
https://doi.org/10.5194/isprs-annals-IV-5-311-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 Nov 2018

15 Nov 2018

DETECTION OF MARINE VESSELS BASED ON VARIATION OF DEGREE OF POLARIZATION

G. K. Dashondhi and K. M. Buddhiraju G. K. Dashondhi and K. M. Buddhiraju
  • CSRE, Indian Institute of Technology Bombay, Powai, Mumbai-400 076, India

Keywords: Degree of polarization (DOP), Variation of degree of polarization (VD), Marine vessels, Real and complex rotation, Synthetic aperture radar (SAR), Effective DOP (DOPE)

Abstract. For improving security of any country, satellite images are playing vital role. Vessels detection using SAR imagery is one of the primary requirements for maritime surveillance. In this paper, the algorithm used for vessels detection has four parts. The first part includes pre-processing to reduce speckle noise, second part helps in the reduction of cross polarization by real and complex rotation of the coherency matrix, third part derives a new parameter called variation of degree of polarization (VD) and fourth one is a post processing part to connect region and fill gaps using morphological operation. The proposed algorithm is tested on ALOS PALSAR1 (space borne L band) and UAVSAR (Airborne L band) datasets and yielded promising results with a relatively few false alarms.