Artificial intelligence (AI) is a rapidly advancing area of research that encompasses
numerical methods to solve various prediction, optimization, and classification/clustering …

Mineral image recognition is a challenging computer vision problem. Without external tools,
even a human expert cannot distinguish some mineral species accurately. Previous …

Remote sensing of forests is a powerful tool for monitoring the biodiversity of ecosystems,
maintaining general planning, and accounting for resources. Various sensors bring together …

Satellite data allows us to solve a wide range of challenging tasks remotely, including
monitoring changing environmental conditions, assessing resources, and evaluating …

Floods are natural events that can have a significant impacts on the economy and society of
affected regions. To mitigate their effects, it is crucial to conduct a rapid and accurate …

Plant segmentation is a challenging computer vision task due to plant images complexity.
For many practical problems, we have to solve even more difficult tasks. We need to …

Increasingly, automation helps to minimize human involvement in many mundane aspects of
life, especially retail. During the pandemic it became clear that shop automation helps not …

Predicting wildfire spread behavior is an extremely important task for many countries. On a
small scale, it is possible to ensure constant monitoring of the natural landscape through …

Large datasets catalyze the rapid expansion of deep learning and computer vision. At the
same time, in many domains, there is a lack of training data, which may become an obstacle …

Constructing optical image time series for cropland monitoring requires a cloud removal
method that accurately restores cloud regions and eliminates discontinuity around cloud …