.png){kind=icon}
Return
A Novel Framework for Evaluating Performance-Estimation Models
.png){kind=icon}
PRE
AI
DOI：10.1109/TGRS.2019.2898352.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
A general framework for quantifying the worth of a performance-estimation model is proposed. The purpose of the model is to predict the performance of an automatic target recognition algorithm on a given set of test data, while the purpose of the framework is to quantify how well the model fulfills its task. To this end, a quantity referred to as the utility, which is based on the Kullback-Leibler divergence, is introduced. A key aspect of the framework is the inclusion of a significance function that specifies the relative importance of each point in the performance space, here assumed to be defined in terms of false alarm rate and probability of detection. Example significance functions are suggested and discussed. The functionality of the proposed framework is demonstrated on an underwater target detection application involving measured synthetic aperture sonar data. In this context, an image complexity metric is exploited to enable the development of models corresponding to different seafloor conditions and mine-hunting difficulty. The appeal of the framework is its ability to quantitatively assess the utility of competing performance-estimation models and to fairly compare the utility of a model on different test data sets.
Keywords:
Automatic target recognition (ATR)
mine countermeasures
modeling
performance-estimation
synthetic aperture sonar (SAS)
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
8.6
Papers:
2.1W
Citations:
10.7W
Organization
Cited Papers
ShareSaveGnRH agonist long protocol versus GnRH antagonist protocol for various aged patients with diminished ovarian reserve: A retrospective study.png)
PLOS ONE
OAAI
PLOS ONEIF0
OAAIShareSaveA Brief History of Free-Response Receiver Operating Characteristic Paradigm Data AnalysisACADEMIC RADIOLOGYOAAI
ACADEMIC RADIOLOGYIF3.9
OAAIShareSaveShareSaveShareSaveNeed for a consensus on the methods by which to measure joint mobility and the definition of norms for hypermobility that reflect age, gender and ethnic-dependent variation: is revision of criteria for joint hypermobility syndrome and Ehlers-Danlos syndrome hypermobility type indicated?RheumatologyOAAI
RheumatologyIF0
OAAIShareSave
no more
no more