Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ze-xun Geng"'
Autor:
De-yong, Wang, Ze-xun, Geng
Publikováno v:
ACM International Conference Proceeding Series; 12/8/2019, p1-7, 7p
Publikováno v:
SPIE Proceedings.
The existence of phase error influences the imaging performance of optical synthetic aperture system and limits the resolution of the imaging system. The relationship between point spread function of binocular system and piston error is analyzed and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94614b7e9aa632feb2a3467938c7f81e
https://doi.org/10.1117/12.2068326
https://doi.org/10.1117/12.2068326
Publikováno v:
SPIE Proceedings.
Image denoising is an important method of preprocessing, it is one of the forelands in the field of Computer Graphic and Computer Vision. Astronomical target imaging are most vulnerable to atmospheric turbulence and noise interference, in order to re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e94ca7a8f9636e1aae5403151a043e2d
https://doi.org/10.1117/12.2054427
https://doi.org/10.1117/12.2054427
Publikováno v:
SPIE Proceedings.
—Image matching is the core research topics of digital photogrammetry and computer vision. SIFT(Scale-Invariant Feature Transform) algorithm is a feature matching algorithm based on local invariant features which is proposed by Lowe at 1999, SIFT f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f6ef46f319b2e1ec3d1456d3a98a13a
https://doi.org/10.1117/12.2031661
https://doi.org/10.1117/12.2031661
Publikováno v:
SPIE Proceedings.
Optical synthetic aperture imaging (OSAI) can be envisaged in the future for improving the image resolution from high altitude orbits. Several future projects are based on optical synthetic aperture for science or earth observation. Comparing with eq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dbe3be4cf85ac124c588162c8f368e5
https://doi.org/10.1117/12.925301
https://doi.org/10.1117/12.925301
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642345944
IFTC
IFTC
Traditional image process method cannot share data efficiently and realize process interoperately, this paper presents a server-side image process method based on JNI package the local process function, combined with the Web Processing Service standa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66ff96a68e94d294471759e58f9f7bb9
https://doi.org/10.1007/978-3-642-34595-1_1
https://doi.org/10.1007/978-3-642-34595-1_1
Publikováno v:
SPIE Proceedings.
The performance of high-resolution imaging with large optical instruments is severely limited by atmospheric turbulence. Image deconvolution such as iterative blind deconvolution (IBD) and Richardson-Lucy (RL) deconvolution are required. The IBD meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::329ef82ef5aca72b9a620b68a67f5865
https://doi.org/10.1117/12.815892
https://doi.org/10.1117/12.815892
Publikováno v:
SPIE Proceedings.
The observed object images are seriously blurred because of the influence of atmospheric turbulence. The deconvolution is required for object reconstruction from turbulence degraded images. The wavelet transform provides a multiresolution approach to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4131b95e1375c5f5898f30a3b8e6b001
https://doi.org/10.1117/12.804855
https://doi.org/10.1117/12.804855
Publikováno v:
SPIE Proceedings.
The performance of high-resolution imaging with large optical instruments is severely limited by atmospheric turbulence. Adaptive optics (AO) offers a real-time compensation for turbulence. However, the correction is often only partial, and image res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4208246271cf84b792c3dce932530a3
https://doi.org/10.1117/12.804857
https://doi.org/10.1117/12.804857
Publikováno v:
SPIE Proceedings.
The performance of high-resolution imaging with large optical instruments is severely limited by atmospheric turbulence, and an image deconvolution is required for reaching the diffraction limit. A new astronomical image deconvolution algorithm is pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6b8da0d8f8b9be54ceed539632ab17
https://doi.org/10.1117/12.788163
https://doi.org/10.1117/12.788163