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Now showing items 1-10 of 11

Detecting settlement expansion using hyper-temporal SAR time-series

Type: Conference Paper

Author : Kleynhans, W.; Salmon, B.P.

Publisher: IEEE

Year: 2014

A novel spatio-temporal change detection approach using hyper-temporal satellite data

Type: Conference Paper

Author : Kleynhans, W.; Salmon, B.P.; Wessels, K.J.

Publisher: IEEE

Year: 2014

Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier

Type: Conference Paper

Author : Schwegmann, C.P.; Kleynhans, W.; Salmon, B.P.

Publisher: IEEE

Year: 2014

Simulated annealing CFAR threshold selection for South African ship detection in ASAR imagery

Type: Conference Paper

Author : Schwegmann, C.P.; Kleynhans, W.; Salmon, B.P.

Publisher: IEEE

Year: 2014

The assessment of data mining algorithms for modelling Savannah Woody cover using multi-frequency (X-, C- and L-band) synthetic aperture radar (SAR) datasets

Type: Conference Paper

Author : Naidoo, L.; Mathieu, R.; Main, R.; Kleynhans, W.; Wessels, K.; Asner, G.P.; Leblon, B.

Publisher: IEEE

Year: 2014

Using the butterfly effect in a deterministic non-linear system to detect Land cover change

Type: Conference Paper

Author : Salmon, B.P.; Olivier, J.C.; Kleynhans, W.; Wessels, K.J.

Publisher: IEEE

Year: 2014

Woody cover assessments in a Southern African savanna, using hyper-temporal C-band ASAR-WS data

Type: Conference Paper

Author : Main, R.; Mathieu, R.; Kleynhans, W.; Wessels, K.; Naidoo, L.; Asner, G.P.

Publisher: IEEE

Year: 2014

Unsupervised Land Cover Change Detection: Meaningful Sequential Time Series Analysis

Type: Journal Paper

Author : Salmon, B.P.; Olivier, J.C.; Wessels, K.J.; Kleynhans, W.; van den Bergh, F.; Steenkamp, K.C.

Year: 2011

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Detecting Land Cover Change Using an Extended Kalman Filter on MODIS NDVI Time-Series Data

Type: Journal Paper

Author : Kleynhans, W.; Olivier, J.C.; Wessels, K.J.; Salmon, B.P.; van den Bergh, F.; Steenkamp, K.

Publisher: IEEE

Year: 2011

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A modified temporal approach to meta-optimizing an Extended Kalman Filter's parameters

Type: Conference Paper

Author : Salmon, B.P.; Kleynhans, W.; Olivier, J.C.; Olding, W.C.; Wessels, K.J.; van den Bergh, F.

Publisher: IEEE

Year: 2014

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Detecting settlement expansion using hyper-temporal SAR time-series

A novel spatio-temporal change detection approach using hyper-temporal satellite data

Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier

Simulated annealing CFAR threshold selection for South African ship detection in ASAR imagery

The assessment of data mining algorithms for modelling Savannah Woody cover using multi-frequency (X-, C- and L-band) synthetic aperture radar (SAR) datasets

Using the butterfly effect in a deterministic non-linear system to detect Land cover change

Woody cover assessments in a Southern African savanna, using hyper-temporal C-band ASAR-WS data

Unsupervised Land Cover Change Detection: Meaningful Sequential Time Series Analysis

Detecting Land Cover Change Using an Extended Kalman Filter on MODIS NDVI Time-Series Data

A modified temporal approach to meta-optimizing an Extended Kalman Filter's parameters

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Detecting settlement expansion using hyper-temporal SAR time-series

A novel spatio-temporal change detection approach using hyper-temporal satellite data

Ship detection in South African oceans using SAR, CFAR and a Haar-like feature classifier

Simulated annealing CFAR threshold selection for South African ship detection in ASAR imagery

The assessment of data mining algorithms for modelling Savannah Woody cover using multi-frequency (X-, C- and L-band) synthetic aperture radar (SAR) datasets

Using the butterfly effect in a deterministic non-linear system to detect Land cover change

Woody cover assessments in a Southern African savanna, using hyper-temporal C-band ASAR-WS data

Unsupervised Land Cover Change Detection: Meaningful Sequential Time Series Analysis

Detecting Land Cover Change Using an Extended Kalman Filter on MODIS NDVI Time-Series Data

A modified temporal approach to meta-optimizing an Extended Kalman Filter's parameters