Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Grinnell Jones"'
Autor:
III, Grinnell Jones *, Bhanu, Bir *, *
Publikováno v:
In Pattern Recognition 2001 34(2):469-485
Autor:
Bir Bhanu, Grinnell Jones
Publikováno v:
International Journal of Image and Graphics. :85-98
The focus of this paper is optimizing the recognition of vehicles in Synthetic Aperture Radar (SAR) imagery by exploiting the azimuthal variance of scatterers using multiple SAR recognizers at different look angles. The variance of SAR scattering cen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c611e7b0ca14bc2e6313f593c6dbbb8
https://doi.org/10.1142/s0219467804001300
https://doi.org/10.1142/s0219467804001300
Autor:
Grinnell Jones, Bir Bhanu
Publikováno v:
Pattern Recognition. 34:469-485
This paper presents the first sucessful approach for recognizing articulated vehicles in real synthetic aperture radar (SAR) images. This approach is based on invariant properties of the objects. Using SAR scattering center locations and magnitudes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff44ae5a666af5feed9a4efa6590eb98
https://doi.org/10.1016/s0031-3203(99)00218-6
https://doi.org/10.1016/s0031-3203(99)00218-6
Autor:
Bir Bhanu, Grinnell Jones
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 37:316-328
Recognizing occluded vehicle targets in synthetic aperture radar (SAR) images is addressed. Recognition algorithms, based on local features, are presented that successfully recognize highly occluded objects in both XPATCH synthetic SAR signatures and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a56802562ecb94796074794d0422a0e9
https://doi.org/10.1109/7.913694
https://doi.org/10.1109/7.913694
Publikováno v:
Machine Vision and Applications. 11:289-299
Target recognition is a multi-level process requiring a sequence of algorithms at low, intermediate and high levels. Generally, such systems are open loop with no feedback between levels and assuring their performance at the given probability of corr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec495b9af51fd4dee183d362f5f6d13e
https://doi.org/10.1007/s001380050113
https://doi.org/10.1007/s001380050113
Autor:
Bir Bhanu, Grinnell Jones
Publikováno v:
Computer Vision Beyond the Visible Spectrum ISBN: 9781852336042
The focus of this chapter is on methods for improving the performance of a model-based system for recognizing vehicles in synthetic aperture radar (SAR) imagery under the extended operating conditions of object articulation, occlusion, and configurat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edb9d95e6662702b70a7e8a71605a335
https://doi.org/10.1007/1-84628-065-6_2
https://doi.org/10.1007/1-84628-065-6_2
Publikováno v:
SPIE Proceedings.
This paper focuses on a genetic algorithm based method that automates the construction of local feature based composite class models to capture the salient characteristics of configuration variants of vehicle targets in SAR imagery and increase the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::171386aea26ea8b5cc5bd2083d50809d
https://doi.org/10.1117/12.487532
https://doi.org/10.1117/12.487532
Autor:
Grinnell Jones, Bir Bhanu
Publikováno v:
Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS'99).
Using SAR scattering center locations and magnitudes as features, invariances with articulation (i.e., turret rotation for the ZSU 23/4 gun and T72 tank), with configuration variants (e.g. fuel barrels, searchlights, etc.) and with a depression angle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a3337842d6e0a615be79be39f8821b3
https://doi.org/10.1109/cvbvs.1999.781098
https://doi.org/10.1109/cvbvs.1999.781098
Autor:
Grinnell Jones, Bir Bhanu
Publikováno v:
Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197).
Recognition of articulated occluded real-world man-made objects in synthetic aperture radar (SAR) imagery has not been addressed in the field of image processing and computer vision. The traditional approach to object recognition in SAR imagery (at o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dae5de9e8e61f9d579d427e46db21d6b
https://doi.org/10.1109/nrc.1998.678008
https://doi.org/10.1109/nrc.1998.678008
Autor:
Grinnell Jones, Bir Bhanu
Publikováno v:
Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (Cat. No.PR00640).
This paper outlines an approach and experimental results for synthetic aperture radar (SAR) object recognition using the MSTAR data. With SAR scattering center locations and magnitudes as features, the invariance of these features is shown with objec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02227556426b91a077bef5b0f9328497
https://doi.org/10.1109/cvbvs.2000.855250
https://doi.org/10.1109/cvbvs.2000.855250