Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Philip B. Chapple"'
Autor:
Hoang Thanh Le, Son Lam Phung, Philip B. Chapple, Abdesselam Bouzerdoum, Christian H. Ritz, Le Chung Tran
Publikováno v:
IEEE Access, Vol 8, Pp 94126-94139 (2020)
With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. High-resolution imaging sonars can be mounted on various survey platforms, typically autonomous u
Externí odkaz:
https://doaj.org/article/a5195fcc847746e18ae97422a7b1113a
Autor:
Le Chung Tran, Son Lam Phung, Philip B. Chapple, Christian Ritz, Abdesselam Bouzerdoum, Hoang Thanh Le
Publikováno v:
IEEE Access, Vol 8, Pp 94126-94139 (2020)
With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. High-resolution imaging sonars can be mounted on various survey platforms, typically autonomous u
Autor:
Christian Ritz, Thi Nhat Anh Nguyen, Le Chung Tran, Abdesselam Bouzerdoum, Son Lam Phung, Hoang Thanh Le, Philip B. Chapple
Publikováno v:
DICTA
Detection of underwater mines is important for ensuring the safety of maritime routes. This paper presents a new approach for mine-like object sensing in sonar imagery. We propose a deep learning architecture that combines a convolution neural networ
Autor:
Philip B. Chapple
Publikováno v:
OCEANS 2009.
Autonomous image processing of sonar images from stable underwater platforms such as autonomous underwater vehicles (AUVs) provides a means of rapidly detecting mine-like objects on the seabed, while avoiding the delays and human demands associated w
Publikováno v:
Applied optics. 36(35)
We report on the statistics and simulation of oblique airborne imagery of natural forest in the visible wave band. Statistical correlations in the imagery are characterized by a sharp, nearly exponential, central peak and a correlation tail that fall
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 10(4)
Stochastic background models incorporating spatial correlations can be used to enhance the detection of targets in natural terrain imagery, but are generally difficult to apply when the statistics are non-Gaussian. Chapple and Bertilone (see Opt. Com
Publikováno v:
SPIE Proceedings.
Automatic detection of targets in natural terrain images is a difficult problem when the size and brightness of the targets is similar to that of the background clutter. The best results are achieved by techniques that are built on modeling the image
Publikováno v:
Advances in Pattern Recognition ISBN: 9783540648581
SSPR/SPR
SSPR/SPR
We demonstrate that a very simple stochastic model based on nonlinear transformation of Gaussian random fields can be successfully used to model homogeneous non-Gaussian natural backgrounds observed in a wide range of airborne and spacebome sensor im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e415e8a8a2e5a599740d6845a3d1b3d2
https://doi.org/10.1007/bfb0033317
https://doi.org/10.1007/bfb0033317
Publikováno v:
Nonlinear Optical Materials for Switching and Limiting.
Nanosecond and picosecond studies have been carried out on a platinum ethynyl compound dissolved in tetrahydrofuran. Nonlinear absorption was observed at 532 nm using nanosecond pulses and at 1064 nm using picosecond pulses. The nonlinear absorption
Publikováno v:
Nonlinear Optical Materials for Switching and Limiting.
Factors which affect the design of passive optical power limiters utilizing nonlinear refraction and absorption are discussed. Recent theoretical modelling and experimental studies of the effects produced by varying the thickness and position of the