The Automated Change Detection and Classification - Real-Time (ACDC-RT) System
Abstract
In support of Military Mine Warfare (MIW) clearance operations for safe vessel passage, analysts perform change detection by visually comparing historical high-resolution sidescan sonar imagery (SSI) with newly collected SSI in an attempt to identify newly placed objects. The objective of MIW change detection is to match objects detected in new SSI with historical objects stored in a database. Any newly detected objects not successfully matched are flagged for investigation. A requirement exists for a system to perform real-time change detection and classification. This paper presents an Automated Change Detection and Classification (ACDC) System, developed by the Naval Research Laboratory (NRL) and the Naval Oceanographic Office (NAVOCEANO), which aids analysts in performing change detection in real-time (RT) by co-registering new and historical imagery and using automated change detection algorithms that suggest imagery changes. In this paper, ACDC-RT components are described and results given from a recent change detection experiment.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2006
- Accession Number
- ADA498490
Entities
People
- Charles Martin
- Christy Gautre
- Geary Layne
- James Hammack
- Martin L. Gendron
Organizations
- United States Naval Research Laboratory