A synergistic exploitation concept for wide-area search

Mark J. Carlotto

doi:10.1117/12.668806

17 May 2006 A synergistic exploitation concept for wide-area search

Mark J. Carlotto

Proceedings Volume 6235, Signal Processing, Sensor Fusion, and Target Recognition XV; 623516 (2006) https://doi.org/10.1117/12.668806
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Key to effective image exploitation is letting man and machine do what they each do best. Automated target recognition (ATR) systems rely on model-based approaches that operate in a highly structured predict-extract-match-search (PEMS) loop. Fundamental to wide area search (WAS) is the problem of detecting a large number of potential objects that are so diverse in nature that they cannot be enumerated let alone modeled. In addition there is the problem of unexpected objects (i.e., those that cannot be modeled a priori). A new approach to search based on a detect-organize-compile (DOC) paradigm is proposed and applied to wide area change detection (WACD). It combines an automated image screening algorithm for detecting manmade changes with an interactive web-based tool for ranking, reviewing, and compiling changes of interest. Performance of this approach against exhaustive manual search of the image shows about a 10X increase in throughput (changes detected per unit time) at a fixed level of performance.

Citation Download Citation

Mark J. Carlotto "A synergistic exploitation concept for wide-area search", Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 623516 (17 May 2006); https://doi.org/10.1117/12.668806

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available