Accession Number : ADA601363


Title :   Automated Change Detection for Synthetic Aperture Sonar


Corporate Author : NAVAL SURFACE WARFARE CENTER PANAMA CITY DIV FL


Personal Author(s) : G-Michael, Tesfaye ; Marchand, Bradley ; Tucker, J D ; Sternlicht, Daniel D ; Marston, Timothy M ; Azimi-Sadjadi, Mahmood R


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a601363.pdf


Report Date : Jan 2014


Pagination or Media Count : 12


Abstract : In this paper, an automated change detection technique is presented that compares new and historical seafloor images created with sidescan synthetic aperture sonar (SAS) for changes occurring over time. The method consists of a four stage process: a coarse navigational alignment; fine-scale co-registration using the scale invariant feature transform (SIFT) algorithm to match features between overlapping images; sub-pixel co-registration to improves phase coherence; and finally, change detection utilizing canonical correlation analysis (CCA). The method was tested using data collected with a high-frequency SAS in a sandy shallow-water environment. By using precise co-registration tools and change detection algorithms, it is shown that the coherent nature of the SAS data can be exploited and utilized in this environment over time scales ranging from hours through several days.


Descriptors :   *ALGORITHMS , *CHANGE DETECTION , *SYNTHETIC APERTURE SONAR , CORRELATION


Subject Categories : Numerical Mathematics
      Optical Detection and Detectors
      Active & Passive Radar Detection & Equipment


Distribution Statement : APPROVED FOR PUBLIC RELEASE