Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Sandor Z. Der"'
Publikováno v:
Encyclopedia of Optical and Photonic Engineering, Second Edition ISBN: 9781439850992
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::158e29b89de8fe3edd5c2f0d2c493856
https://doi.org/10.1081/e-eoe2-120009853
https://doi.org/10.1081/e-eoe2-120009853
Publikováno v:
Information Fusion. 4:35-45
We investigate the potential benefits of fusing two bands of forward-looking infrared (FLIR) data for target detection and clutter rejection. We propose a similar set of neural-based clutter rejecters and target detectors, each of which consists of a
Autor:
Rama Chellappa, Sandor Z. Der, Nasser M. Nasrabadi, L Wang, Baoxin Li, Qinfen Zheng, Lipchen Alex Chan
Publikováno v:
Computer Vision and Image Understanding. 84:5-24
This paper presents an empirical evaluation of a number of recently developed Automatic Target Recognition algorithms for Forward-Looking Infrared (FLIR) imagery using a large database of real FLIR images. The algorithms evaluated are based on convol
Publikováno v:
IEEE Transactions on Image Processing. 10:897-908
An approach to model-based dynamic object verification and identification using video is proposed. From image sequences containing the moving object, we compute its motion trajectory. Then we estimate its three-dimensional (3-D) pose at each time ste
Publikováno v:
IEEE Transactions on Image Processing. 7:1113-1121
A modular neural network classifier has been applied to the problem of automatic target recognition using forward-looking infrared (FLIR) imagery. The classifier consists of several independently trained neural networks. Each neural network makes a d
Publikováno v:
Advances in Pattern Recognition ISBN: 1852336048
Hyperspectral imaging sensors have been widely studied for automatic target recognition (ATR), mainly because a wealth of spectral information can be obtained through a large number of narrow contiguous spectral channels (often over a hundred). Targe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32ab30ede6b20526a2b61949cfe31131
https://doi.org/10.1007/1-84628-065-6_4
https://doi.org/10.1007/1-84628-065-6_4
Publikováno v:
IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 35(4)
Many image recognition algorithms based on data-learning perform dimensionality reduction before the actual learning and classification because the high dimensionality of raw imagery would require enormous training sets to achieve satisfactory perfor
Publikováno v:
ICIP (1)
Adaptive anomaly detectors that find any materials whose spectral characteristics are out of context with those of the neighboring materials are proposed. We use a dual rectangular window that separates the local area into two regions- the inner wind
Publikováno v:
ICASSP (2)
Algorithms are considered for searching wide area forward-looking infrared imagery for military vehicles. Wide area search has typically been handled by using a simple detection algorithm with low computational cost to search the entire image or set
Publikováno v:
SPIE Proceedings.
In this paper, an adaptive target detection algorithm for FLIR imagery is proposed that is based on measuring differences between structural information within a target and its surrounding background. At each pixel in the image a dual window is opene