Dr. Jorge Antonio Silva Centeno Profile

Dr. Jorge Antonio Silva Centeno

at Univ Federal do Parana

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Author

Publications (4)

SPIE Journal Paper | 29 April 2021

Improving stacked-autoencoders with 1D convolutional-nets for hyperspectral image land-cover classification

Mario Ernesto Jijón-Palma, Jens Kern, Caisse Amisse, Jorge Antonio Silva Centeno

JARS, Vol. 15, Issue 02, 026506, (April 2021) https://doi.org/10.1117/12.10.1117/1.JRS.15.026506

KEYWORDS: Hyperspectral imaging, Image classification, Data modeling, Image processing, Computer programming, Machine learning, Vegetation, Remote sensing, Statistical modeling, Convolution

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SPIE Journal Paper | 25 September 2020

Multitemporal image encoding for monitoring spatiotemporal variations of water bodies using Landsat 8 Operational Land Imager (OLI) data

Mario Ernesto Jijón-Palma, Caisse Amisse, Jorge Antonio Silva Centeno

JARS, Vol. 14, Issue 03, 034523, (September 2020) https://doi.org/10.1117/12.10.1117/1.JRS.14.034523

KEYWORDS: Computer programming, Binary data, Earth observing sensors, Landsat, Visualization, Clouds, Remote sensing, Satellites, Image segmentation, Data acquisition

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SPIE Journal Paper | 21 October 2014

Deriving a flow coherent surface for runoff simulation in urban areas using light detection and ranging data and multispectral imagery

Gabriel Henrique de Almeida Pereira, Jorge Antonio Silva Centeno

JARS, Vol. 8, Issue 01, 083545, (October 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.083545

KEYWORDS: LIDAR, Data modeling, Buildings, Mathematical modeling, Computer simulations, RGB color model, Multispectral imaging, Mathematical morphology, Vegetation, Clouds

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Proceedings Article | 26 February 2010 Paper

The use of images CBERS 2 and CBERS 2b in identification of areas affected by desertification

Claudionor Ribeiro Silva, Fabiana Silva Pires Castro, Jorge Antonio Silva Centeno

Proceedings Volume 7546, 754620 (2010) https://doi.org/10.1117/12.856008

KEYWORDS: Image processing, Vegetation, Satellites, Mathematical morphology, Satellite imaging, Cameras, Sensors, Binary data, Chemical elements, Spatial resolution

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