3 citations · 5 across the 3 of their papers we have counts for
4 papers
Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks
Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin +2
The near-infrared (NIR) spectral range (from 780 to 2500 nm) of the multispectral remote sensing imagery provides vital information for the landcover classification, especially con…
Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation
Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin +3
Today deep convolutional neural networks (CNNs) push the limits for most computer vision problems, define trends, and set state-of-the-art results. In remote sensing tasks such as…
Targeted change detection in remote sensing images
Vladimir Ignatiev, Alexey Trekin, Viktor Lobachev +2
Recent developments in the remote sensing systems and image processing made it possible to propose a new method of the object classification and detection of the specific changes i…
Satellite imagery analysis for operational damage assessment in Emergency situations
Alexey Trekin, German Novikov, Georgy Potapov +2
When major disaster occurs the questions are raised how to estimate the damage in time to support the decision making process and relief efforts by local authorities or humanitaria…