Now showing items 1-3 of 3
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 ...
Change frequency heatmaps for temporal multivariate phenological data analysis
(Proceedings - 13th IEEE International Conference on eScience, eScience 2017, 2017-11-14) [Trabalho apresentado em evento]
The huge amount of multivariate temporal data that has been produced in several applications demands the creation of appropriate tools for the analysis and pattern characterization of change. This paper introduces a novel ...
Towards vegetation species discrimination by using data-driven descriptors
(2016 9th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2016, 2017-02-28) [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 ...