Zobrazeno 1 - 8
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pro vyhledávání: '"James Bonick"'
Autor:
James Bonick
Publikováno v:
SPIE Proceedings.
The detection, tracking, and classification of humans in video imagery is of obvious military and civilian importance. The problem is difficult under the best of circumstances. In infrared (IR) imagery, or any grayscale imagery, the problem is compou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::514f5e3474841bed1ae47471abab22ac
https://doi.org/10.1117/12.915512
https://doi.org/10.1117/12.915512
Publikováno v:
SPIE Proceedings.
This paper details the use of a genetic algorithm (GA) as a method to preselect spectral feature variables for chemometric algorithms, using spectroscopic data gathered on explosive threat targets. The GA was applied to laserinduced breakdown spectro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::829e40b3059600effc02fbebb872e5d0
https://doi.org/10.1117/12.923387
https://doi.org/10.1117/12.923387
Autor:
James Bonick, Christopher Marshall
The USA RDECOM CERDEC Night Vision and Electronic Sensors Directorate's Science and Technology Division investigated sensor fusion along three avenues: statistical, biological and categorical. The first two approaches are analyzed simultaneously to p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e7546f1cbe79bfba5dff6d036d26f5c
https://doi.org/10.21236/ada539485
https://doi.org/10.21236/ada539485
Publikováno v:
FUSION
Image fusion is used to improve target detection and identification. In human-observer applications it is useful to rank fusion methods according to how well they assist the observer in a decision task. Two images (medium- and long-wave infrared), ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bf690f960aeb33d88b4ca5734e79024
https://doi.org/10.1109/icif.2010.5711838
https://doi.org/10.1109/icif.2010.5711838
Autor:
James Bonick, Christopher Marshall
Publikováno v:
Signal Processing, Sensor Fusion, and Target Recognition XVII.
In this paper, we investigate sensor fusion along three avenues: statistical, biological, and categorical. The first two approaches are analyzed simultaneously to provide a precise and rigorous sensor fusion methodology. The statistical model current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6311ec327d3a8a87c1d31e4b4f1e20d8
https://doi.org/10.1117/12.776701
https://doi.org/10.1117/12.776701
Autor:
James Bonick
Publikováno v:
Signal Processing, Sensor Fusion, and Target Recognition XV.
The importance of network science to the present and future military is unquestioned. Networks of some type pervade every aspect of military operations-a situation that is shared by civilian society. However, several aspects of militarily oriented ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cc71da9b9e139052d774e08f26a53f7
https://doi.org/10.1117/12.649528
https://doi.org/10.1117/12.649528
Autor:
James Bonick
Publikováno v:
SPIE Proceedings.
This paper describes a method for developing and training a classifier for detecting military vehicles in FLIR (Forward Looking Infrared) imagery. Often image analysis is done via constructing feature vectors from the original two-dimensional image.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::677fa87d8271285857b3fcb1f24b74bf
https://doi.org/10.1117/12.538934
https://doi.org/10.1117/12.538934
Publikováno v:
Targets and Backgrounds VIII: Characterization and Representation.
The acquisition a robust set of IR imagery is frequently impossible through the traditional image collection process. On the other hand, the use of a full-scale simulation is too time consuming and frequently produces unrealistic images. Therefore, o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ef333230eab0b00fd9959c76e86567b
https://doi.org/10.1117/12.478831
https://doi.org/10.1117/12.478831