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Data-Driven Flood Detection using Neural Networks
Deep contextual description of superpixels for aerial urban scenes classification
Fusion of genetic-programming-based indices in hyperspectral image classification tasks
Learning Deep Features on Multiple Scales for Coffee Crop Recognition
Post classification smoothing in sub-decimeter resolution images with semi-supervised label propagation
Semantic segmentation of vegetation images acquired by unmanned aerial vehicles using an ensemble of ConvNets
Information Theory-Based Detection of Noisy Bit Planes in Medical Images
A Boosting-Based Approach for Remote Sensing Multimodal Image Classification
Learning to Combine Spectral Indices with Genetic Programming
Learning to semantically segment high-resolution remote sensing images