Now showing items 1-3 of 3
Towards vegetation species discrimination by using data-driven descriptors
(2016 9th Iapr Workshop On Pattern Recognition In Remote Sensing (prrs), 2016-01-01) [Trabalho apresentado em evento]
In this paper, we analyse the use of Convolutional Neural Networks (CNNs or ConvNets) to discriminate vegetation species with few labelled samples. To the best of our knowledge, this is the first work dedicated to the ...
SEMANTIC SEGMENTATION OF VEGETATION IMAGES ACQUIRED BY UNMANNED AERIAL VEHICLES USING AN ENSEMBLE OF CONVNETS
(2017 Ieee International Geoscience And Remote Sensing Symposium (igarss), 2017-01-01) [Trabalho apresentado em evento]
Vegetation segmentation in high resolution images acquired by unmanned aerial vehicles (UAVs) is a challenging task that requires methods capable of learning high-level features while dealing with fine-grained data. In ...
Phenological event detection by visual rhythms dissimilarity analysis
(Proceedings - 2014 IEEE 10th International Conference on eScience, eScience 2014, 2014-01-01) [Trabalho apresentado em evento]
Plant phenology has been exploited as an important research venue for assessing the impact of climate changes. One common approach for monitoring vegetation relies on the use of digital cameras. The employment of imaging ...