2.2k citations · 2.2k across the 4 of their papers we have counts for
4 papers · 1 filter
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision
Sherrie Wang, Francois Waldner, David B. Lobell
Crop field boundaries aid in mapping crop types, predicting yields, and delivering field-scale analytics to farmers. Recent years have seen the successful application of deep learn…
Looking for change? Roll the Dice and demand Attention
Foivos I. Diakogiannis, François Waldner, Peter Caccetta
Change detection, i.e. identification per pixel of changes for some classes of interest from a set of bi-temporal co-registered images, is a fundamental task in the field of remote…
Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network
François Waldner, Foivos I. Diakogiannis
Applications of digital agricultural services often require either farmers or their advisers to provide digital records of their field boundaries. Automatic extraction of field bou…
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
Foivos I. Diakogiannis, François Waldner, Peter Caccetta +1
Scene understanding of high resolution aerial images is of great importance for the task of automated monitoring in various remote sensing applications. Due to the large within-cla…