Andere Kunden interessierten sich auch für
![How to Develop a Robust Automatic Target Recognition Capability by the Year 2030]( "How to Develop a Robust Automatic Target Recognition Capability by the Year 2030")
How to Develop a Robust Automatic Target Recognition Capability by the Year 203060,99 €![Optimization of Automatic Target Recognition with a Reject Option Using Fusion and Correlated Sensor Data]( "Optimization of Automatic Target Recognition with a Reject Option Using Fusion and Correlated Sensor Data")
Optimization of Automatic Target Recognition with a Reject Option Using Fusion and Correlated Sensor Data60,99 €![Automatic Target Recognition Classification System Evaluation Methodology]( "Automatic Target Recognition Classification System Evaluation Methodology")
Automatic Target Recognition Classification System Evaluation Methodology62,99 €![Enhancing a Virtual Distributed Library User Interface Via Server-Side User Profile Caching]( "Enhancing a Virtual Distributed Library User Interface Via Server-Side User Profile Caching")
Enhancing a Virtual Distributed Library User Interface Via Server-Side User Profile Caching60,99 €![Graphical User Interface and Microprocessor Control Enhancement of a Pseudorandom Code Generator]( "Graphical User Interface and Microprocessor Control Enhancement of a Pseudorandom Code Generator")
Graphical User Interface and Microprocessor Control Enhancement of a Pseudorandom Code Generator60,99 €![Recruiting Campaigns: How Advertising and Training Target the Millennial Generation]( "Recruiting Campaigns: How Advertising and Training Target the Millennial Generation")
Recruiting Campaigns: How Advertising and Training Target the Millennial Generation63,99 €![Inss Strategic Perspectives 4: Secret Weapon: High-Value Target Teams as an Organizational Innovation]( "Inss Strategic Perspectives 4: Secret Weapon: High-Value Target Teams as an Organizational Innovation")
Inss Strategic Perspectives 4: Secret Weapon: High-Value Target Teams as an Organizational Innovation60,99 €
A computer tool to aid in selecting the best Automatic Target Recognition (ATR) algorithm is developed. The program considers many quantifiers, accepts user-defined parameters, allows for changes in the operational environment and presents results in a meaningful way. It is written for Microsoft Excel. An ATR algorithm assigns a class label to a recognized target. General designations can include "Friend" and "Foe." The error of designating "Friend" as "Foe" as well as "Foe" as "Friend" comes with a high cost. Studying each algorithm's error can minimize this cost. Receiver Operating Characteristic (ROC) curves provide only information on the probabilities given a system state of declaring up to three class labels: "True," "False" or "Unknown." Other quantifiers, including an alternate ROC curve, are developed in this study to provide information on the probability of a system state given any of multiple declarations, which is more useful to the user. Sensitivity to prior probabilities, suggestions for user-defined parameters and areas for future research are identified as the User Interface Tool is described in detail in this thesis.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.