Design of benchmark imagery for validating facility annotation algorithms

Author

Roberts, Randy S. ; Pope, Paul A. ; Vatsavai, Raju R. ; Jiang, Ming ; Arrowood, Lloyd F. ; Trucano, Timothy G. ; Gleason, Shaun ; Cheriyadat, Anil ; Sorokine, Alex ; Katsaggelos, Aggelos K. ; Pappas, Thrasyvoulos N. ; Gaines, Lucinda R. ; Chilton, Lawrenc

Author_Institution

Lawrence Livermore Nat. Lab., Livermore, CA, USA

fYear

2011

fDate

24-29 July 2011

Firstpage

1453

Lastpage

1456

Abstract

The design of benchmark imagery for validation of image an notation algorithms is considered. Emphasis is placed on imagery that contains industrial facilities, such as chemical re fineries. An application-level facility ontology is used as a means to define salient objects in the benchmark imagery. Instrinsic and extrinsic scene factors important for comprehensive validation are listed, and variability in the benchmarks discussed. Finally, the pros and cons of three forms of bench mark imagery: real, composite and synthetic, are delineated.

Keywords

computer vision; facilities; facilities planning; ontologies (artificial intelligence); application-level facility ontology; benchmark imagery; chemical refinery; facility annotation algorithm; image annotation algorithm; industrial facility; Algorithm design and analysis; Benchmark testing; Buildings; Image segmentation; Ontologies; Solid modeling; Uncertainty; Algorithm validation; Benchmark imagery; Benchmark variability; Ontology; Real annotated imagery; Validation using synthetic imagery;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049340

Filename

6049340