4 papers
Facing the Void: Overcoming Missing Data in Multi-View Imagery
Gabriel Machado, Keiller Nogueira, Matheus Barros Pereira +1
In some scenarios, a single input image may not be enough to allow the object classification. In those cases, it is crucial to explore the complementary information extracted from…
ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
Matheus Barros Pereira, Jefersson Alex dos Santos
Labeling semantic segmentation datasets is a costly and laborious process if compared with tasks like image classification and object detection. This is especially true for remote…
Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks
Keiller Nogueira, Jefersson A. dos Santos, Nathalia Menini +3
Plant phenology studies rely on long-term monitoring of life cycles of plants. High-resolution unmanned aerial vehicles (UAVs) and near-surface technologies have been used for plan…
Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks
Keiller Nogueira, Mauro Dalla Mura, Jocelyn Chanussot +2
Semantic segmentation requires methods capable of learning high-level features while dealing with large volume of data. Towards such goal, Convolutional Networks can learn specific…