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Brazilian Coffee Scenes Dataset

by Caio Da Silva
12/11/201709/03/2019

This dataset is a composition of scenes taken by SPOT sensor in 2005 over four counties in the State of Minas Gerais, Brazil: Arceburgo, Guaranesia, Guaxupé and Monte Santo. It has many intraclass variance caused by different crop management techniques. Also, coffee is an evergreen culture and the South of Minas Gerais is a mountainous region, which means that this dataset includes scenes with different plant ages and/or with spectral distortions caused by shadows.

Contextual descriptors for superpixel-based segmentation

by Caio Da Silva
12/11/201729/01/2020

Land-cover maps are one of the main sources of information for studies that support the creation of public policies in areas like urban planning and… Read More »Contextual descriptors for superpixel-based segmentation

Natural disaster monitoring

by Caio Da Silva
09/11/201729/01/2020

Natural disaster monitoring is a fundamental task to create prevention strategies, as well as to help authorities to act in the control of damages, coordinate rescues, and help victims.
Among all natural disasters, flooding is possibly the most extensive and devastating one being considered as the world’s most costly type of natural hazard in terms of both economic losses and human causalities

Multiscale classification of remote sensing images

by Caio Da Silva
06/11/201727/02/2018

A huge effort has been applied in image classification to create high-quality thematic maps and to establish precise inventories about land cover use. The peculiarities… Read More »Multiscale classification of remote sensing images