Improving the Accuracy of Air Navigation Systems for Unmanned Aerial Vehicles
I Zhukov, B Dolintse, S Balakin - 2023 13th International …, 2023 - ieeexplore.ieee.org
One of the main tasks of processing Unmanned Aerial Vehicles navigation information when
using redundant information sources is to create integrated navigation systems using the …
using redundant information sources is to create integrated navigation systems using the …
Autonomous flight insurance method of unmanned aerial vehicles Parot Mambo using semantic segmentation data
In this paper, we describe a platform based on low-cost off-the-shelf hardware that takes
advantage of the Matlab/Simulink programming environment to tackle most of the problems …
advantage of the Matlab/Simulink programming environment to tackle most of the problems …
A method for extracting the semantic features of speech signal recognition based on empirical wavelet transform
O Lavrynenko, D Bakhtiiarov, V Kurushkin… - … and Computer Systems, 2023 - nti.khai.edu
The subject of this study is methods for improving the efficiency of semantic coding of
speech signals. The purpose of this study is to develop a method for improving the efficiency …
speech signals. The purpose of this study is to develop a method for improving the efficiency …
Automated, quick, and precise building extraction from aerial images using ll-unet model
HP Koringa, MJ Patel - Radioelectronic and Computer Systems, 2024 - nti.khai.edu
The subject matter of this article is the detection and semantic segmentation of buildings
from high-resolution aerial images. It extracts building images from similar characteristics of …
from high-resolution aerial images. It extracts building images from similar characteristics of …
Is the VGG-19 Road Segmentation Method better than the Customized UNET Method?
M Chanda, O Mazumder… - 2024 IEEE 3rd World …, 2024 - ieeexplore.ieee.org
The main reason for coming up with self-driving cars is to enhance the safety of cars on the
road by improving and reducing the occurrence of traffic accidents. Self-driving cars rely on …
road by improving and reducing the occurrence of traffic accidents. Self-driving cars rely on …
Deep Learning based Semantic Segmentation for Buildings Detection from Remote Sensing Images.
MJ Patel, HP Koringa - International Journal of Next …, 2024 - search.ebscohost.com
Building extraction from remote sensing images is the process of automatically identifying
and extracting the boundaries of buildings from high-resolution aerial or satellite images …
and extracting the boundaries of buildings from high-resolution aerial or satellite images …
Detection of urban fugitive dust emission sources from optical satellite remote sensing images
X He, Z Wang, L Bai, M Wang… - … and Applications in Urban …, 2023 - spiedigitallibrary.org
Urban fugitive dust emission is an open pollution source that enters the atmosphere
because of the dust on the ground being lifted by the wind or human activities. Dust pollution …
because of the dust on the ground being lifted by the wind or human activities. Dust pollution …
Improving the accuracy of the PET/MRI tridimensional multimodal rigid image registration based on the FATEMD
The subject matter of the article is the improvement in the accuracy of multimodal image
registration between PET and MRI images in the medical field. The focus of the article …
registration between PET and MRI images in the medical field. The focus of the article …
Develop an Automatic Road Network Extraction System from Remote Sensing Images
MJ Patel, K Ashish - 2023 - library.atmiya.net
In recent years, both the development of high resolution satellite images and the amount of
newlineavailable aerial images have expanded and accessible easily. Unfortunately, the …
newlineavailable aerial images have expanded and accessible easily. Unfortunately, the …
Розроблення програмного забезпечення для сегментації даних по фото та відео інформації
ДМ Крицький, НІ Шкуренко, ОВ Попов, ОО Кравцова - 2023 - dspace.library.khai.edu
Об'єктом дослідження є процес сприйняття окремих об'єктів на фото та відео для
подальшого аналізу ситуації у місті. Предметом дослідження є обробка зображень з …
подальшого аналізу ситуації у місті. Предметом дослідження є обробка зображень з …