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Artificial intelligence for satellite communication: A review
Satellite communication offers the prospect of service continuity over uncovered and under-
covered areas, service ubiquity, and service scalability. However, several challenges must …
covered areas, service ubiquity, and service scalability. However, several challenges must …
Visual monitoring of landing gear in fighters using deep learning
The analysis of images using deep learning techniques makes it possible to detect
anomalous or dangerous situations in different fields of application. This work aims to …
anomalous or dangerous situations in different fields of application. This work aims to …
Effective airplane detection in high resolution satellite images using YOLOv3 model
Airplane detection is an artificial intelligence problem that can be solved either by the
classical machine learning methods or by the cutting-edge deep learning processes …
classical machine learning methods or by the cutting-edge deep learning processes …
Deep Learning Driven Real-Time Airspace Monitoring Using Satellite Imagery
Detecting aircraft in remote sensing images poses a formidable challenge due to the diverse
characteristics of aircraft, including type, size, pose, and intricate backgrounds. Traditional …
characteristics of aircraft, including type, size, pose, and intricate backgrounds. Traditional …
基于密集连接的高分辨率遥感图像分类
陈知明， 张江， 邱汉清， 戴颖成… - 《 广西师范大学学报》 …, 2022 - gxsf.magtech.com.cn
高分辨率遥感图像分类是当前一个研究热点, 基于深度卷积网络和全连接条件随机场的高分辨率
遥感图像分类模型(Deeplab), 因其高效精准的分类性能被广泛应用于该研究领域, 但Deeplab …
遥感图像分类模型(Deeplab), 因其高效精准的分类性能被广泛应用于该研究领域, 但Deeplab …
Review of machine learning in geosciences and remote sensing
It is known that the machine learning algorithms are able to process data without the need of
human intervention. A lot of the research and analysis involved in Geosciences and Remote …
human intervention. A lot of the research and analysis involved in Geosciences and Remote …
FINE-GRAINED CLASSIFICATION OF MILITARY AIRCRAFT USING PRE-TRAINED DEEP LEARNING MODELS AND YOLO11
This research examines the potential of pre-trained deep learning models for the fine-
grained classification of military aircraft, to achieve accurate identification and extraction of …
grained classification of military aircraft, to achieve accurate identification and extraction of …
Building a Spaceborne Integrated High-performance Processing and Computing Platform Based on SpaceVPX
W Liu, Y Pang, S Luan, B Cheng - … International Conference on …, 2022 - ieeexplore.ieee.org
An efficient way to reduce the pressure on communication bandwidth between satellite and
ground is to process information and images autonomously, remove incorrect picture data …
ground is to process information and images autonomously, remove incorrect picture data …
Ai based airplane air pollution identification architecture using satellite imagery
Air Pollution has become an important problem for governments, researchers, and
environmentalists over the last few decades. There are many primary transportation sources …
environmentalists over the last few decades. There are many primary transportation sources …
Ai-based rotation aware detection of aircraft and identification of key features for collision avoidance systems (sae paper 2022-01-0036)
A Kwasniewska, O Chougule, S Kondur, S Alavuru… - 2022 - sae.org
Object detection using deep learning is a well-studied area and different neural network
architectures have been proposed for localization of objects at an eyelevel view. However …
architectures have been proposed for localization of objects at an eyelevel view. However …