2 papers
cs.CV2022
Jalisco's multiclass land cover analysis and classification using a novel lightweight convnet with real-world multispectral and relief data
Alexander Quevedo, Abraham Sánchez, Raul Nancláres +4
The understanding of global climate change, agriculture resilience, and deforestation control rely on the timely observations of the Land Use and Land Cover Change (LULCC). Recentl…
cs.CV2021
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification
E. Ulises Moya-Sánchez, Sebastiá Xambo-Descamps, Abraham Sánchez +2
Convolutional Neural Networks (ConvNets) at present achieve remarkable performance in image classification tasks. However, current ConvNets cannot guarantee the capabilities of the…