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Showing 10 out of a total of 16 results.
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Use of sentinel-1 data for vessel detection in South African oceans: Early results
Kleynhans, Waldo
;
Salmon, Brian P
;
Schwegmann, Colin P
;
Mdakane, Lizwe W
(
IEEE
,
2015-08
)
The development of deep learning in synthetic aperture radar imagery
Schwegmann, Colin P
;
Kleynhans, Waldo
;
Salmon, BP
(
IEEE
,
2017-05
)
The reinvigorated South African GRSS Chapter
Schwegmann, Colin P
(
IEEE
,
2017-09
)
Image segmentation-based oil slick detection using SAR Radarsat-2 OSVN maritime data
Mdakane, Lizwe W
;
Kleynhans, Waldo
;
Schwegmann, Colin P
;
Meyer, Rory GV
(
IEEE
,
2017-07
)
Synthetic aperture radar ship detection using capsule networks
Schwegmann, Colin P
;
Kleynhans, Waldo
;
Salmon, BP
;
Mdakane, Lizwe W
;
Meyer, Rory GV
(
IEEE
,
2018-07
)
Very deep learning for ship discrimination in synthetic aperture radar imagery
Schwegmann, Colin P
;
Kleynhans, Waldo
;
Salmon, BP
;
Mdakane, Lizwe W
;
Meyer, Rory GV
(
IEEE
,
2016-07
)
Transforming the autocorrelation function of a time series to detect land cover change
Salmon, BP
;
Kleynhans, Waldo
;
Olivier, JC
;
Schwegmann, Colin P
(
IEEE
,
2015-07
)
Ships as salient objects in synthetic aperture radar imaginary
Schwegmann, Colin P
;
Kleynhans, Waldo
;
Salmon, BP
;
Mdakane, Lizwe W
;
Meyer, Rory GV
(
IEEE
,
2016-07
)
Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks
Schwegmann, Colin P
;
Kleynhans, Waldo
;
Salmon, BP
;
Mdakane, Lizwe W
;
Meyer, Rory GV
(
IEEE
,
2017-07
)
Subsidence feature discrimination using deep convolutional neral networks in synthetic aperture radar imagery
Schwegmann, Colin P
;
Kleynhans, Waldo
;
Engelbrecht, Jeanine
;
Mdakane, Lizwe W
;
Meyer, Rory GV
(
IEEE
,
2017-07
)
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