Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Eran Ohel"'
Publikováno v:
SPIE Proceedings.
Spectral imagers in the Long Wave IR spectral range (8 to 12 microns) suffer from the problem of high production costs because the existing commercial cooled array detectors are expensive, and in fact they are prohibitively expensive for many applica
Publikováno v:
2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel.
Using a set of radiometric thermal hyperspectral data cubes, we developed an algorithm which detects the formation of an anomalous gas cloud. Once we've established the presence of the cloud in the latter images, we determine the origin of the cloud
Publikováno v:
Electro-Optical and Infrared Systems: Technology and Applications II.
Over the last few years, we have developed an algorithm which detects anomalous targets in hyperspectral or multispectral images. The algorithm takes a data (image) cube with a completely unknown background, segments the cube, assigns the largest clu
Publikováno v:
SPIE Proceedings.
Over the last few years, we have developed an algorithm which detects anomalous targets in hyperspectral images. The algorithm takes a hyperspectral cube with a completely unknown background, segments the cube, assigns the largest clusters as backgro
Publikováno v:
SPIE Proceedings.
Basing ourselves on a novel segmentation algorithm for multispectral images, we consider how to detect multipixel anomalous objects in image cubes where spectral information is available. In particular, we have developed several morphological filters
Publikováno v:
Scopus-Elsevier
Basing ourselves on a novel segmentation algorithm for hyper-spectral images (HSI), we have considered how to detect large targets (multi-pixel anomalous objects) in image cubes with a spectral component. In particular, we have developed several filt
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a6b5fe86d7b4f49f061b2d89258c48b
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