Target acquisition methodology for visual and infrared imaging sensors

Abstract

Today the great majority of target acquisition models within the Department of Defense (DoD) originate from two primary sources of empirical human observer data: the Blackwell-Tiffany visual perception experiments begun in World War II and the Army Night Vision Electrooptic Sensors Directorate (NVESD) field test trials with military observers. An extensive sensitivity analysis that compares the performance of several DoD acquisition models derived from these two extensive sets of data was carried out. A comprehensive analysis of each method and a detailed comparison of these different methodologies shows that they are in remarkably good agreement throughout their ranges of applicability. The authors show when the various modeling methodologies are applicable for a variety of military sensor and countermeasure scenarios.

Fuzzy logic approach for computing the probability of target detection in cluttered scenes

“…Select the appropriate reasoning mechanism for the normalization of the fuzzy model: The min function has been used for the AND operator, as well as the max-min composition rule, which is mostly used. 12,14,15,18 The overall fuzzy output ͑Pd_Predicted͒ for the data inputs ͑Der_Metrics, Prob_of_Edge, and Schmieder_Value͒ has been calculated using Eq. ͑41͒.…”

“…8,[10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] Clutter and the idea of probability of detection play a very important role in the area of machine vision and human-in-the-loop target acquisition. In this section, some of the methods used to calculate the probability of detection ͑P d ͒, based on the Night Vision Lab model ͑NVL͒ and the work of others are reviewed.…”

Detection probability using relative clutter in infrared images

“…In recent papers, Rotman et al [14], Gerhart et al [15] and Meitzler [16] review the classical NVL model and others, for computing the probability of detection, P d and suggests a way to include clutter in the algorithm for P d . However, no mention is made of how to compute the properly scaled clutter factors alluded to in the text of the papers.…”

A target detection model predicting field observer performance in maritime scenes

“…[1][2][3][4][5] This model, known as ACQUIRE, was primarily developed to assess the field performance of thermal Infra-Red (IR) imaging systems. In recent years, the ACQUIRE model has been replaced by the Targeting Task Performance (TTP) model.…”