Segmentation and compact multiscale representation of the images based on progressive backward clusteringTsviatkou, V. Y.,
Almiahi, O. M.,
Konopelko, V. K.,
Цветков, В. Ю.,
Альмияхи, О. М.,
Конопелько, В. К. Developed a method of
segmentation and compact multiscale representation of
images based
Forest Areas Segmentation on Aerial Images by Deep Learning segmentation on high-resolution aerial
images. Loss values and Dice coefficient, which compares results
Agricultural Fields Segmentation on Satellite Images Using Convolutional Neural NetworksAgricultural fields
segmentation algorithms in satellite
images are presented. Three convolutional
Modification of U-Net neural network in the task of multichannel satellite images segmentationResults of training of convolutional neural network for satellite four-channel
image segmentation Convolutional Neural Networks for the Segmentation of Multispectral Earth Remote Sensing ImagesThis article describes a modernized approach to the
segmentation of multispectral satellite
images Segmentation of dynamical images by means of discrete Hartley transform the
segmentation of dynamical
images in the frequency domain by means of the discrete Hartley transform (DHT).
Urban areas analysis using satellite image segmentation and deep neural network for automatically extracting the locations of buildings from high-resolution aerial
images. To analyze the quality
Segmentation of regions of interest on locally homogeneous scenesThe possibilities of the
segmentation of regions of interest on locally homogeneous scenes using