Essays about: "radar imaging"

Showing result 1 - 5 of 30 essays containing the words radar imaging.

  1. 1. Multi-Data Approach for Subsurface Imaging: Combining Borehole and GPR- Data for Improved Analysis

    University essay from Umeå universitet/Institutionen för fysik

    Author : Pontus Yngvesson; [2023]
    Keywords : Geofysik; Geoteknik; GPR; Borrhål; Dataanalys; Markradar;

    Abstract : The investigation to understand the subsurface and its features has long been asubject of interest for various fields, including fields such as archaeology and infras-tructure projects. However, traditional excavation methods are often costly and time-consuming. READ MORE

  2. 2. ISAR Imaging Enhancement Without High-Resolution Ground Truth

    University essay from Linköpings universitet/Datorseende

    Author : Moltas Enåkander; [2023]
    Keywords : SAR; SAR Imaging; ISAR; ISAR Imaging; Machine learning; Convolutional neural network; CNN; neural network; Super resolution; Unsupervised learning;

    Abstract : In synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), an imaging radar emits electromagnetic waves of varying frequencies towards a target and the backscattered waves are collected. By either moving the radar antenna or rotating the target and combining the collected waves, a much longer synthetic aperture can be created. READ MORE

  3. 3. Scene Reconstruction From 4D Radar Data with GAN and Diffusion : A Hybrid Method Combining GAN and Diffusion for Generating Video Frames from 4D Radar Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alexandr Djadkin; [2023]
    Keywords : Deep generative models; Generative adversarial networks; Diffusion models; GAN; DGM; 4D imaging radar; Djupa generativa modeller; Generativa antagonistiska nätverk; Diffusionsmodeller; GAN; DGM; 4D-bildradar;

    Abstract : 4D Imaging Radar is increasingly becoming a critical component in various industries due to beamforming technology and hardware advancements. However, it does not replace visual data in the form of 2D images captured by an RGB camera. READ MORE

  4. 4. MmWave Radar-based Deep Learning Collision Prediction

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Taylor Lauren V'dovec; [2023]
    Keywords : collision prediction; mmWave radar; deep learning; variational autoencoder VAE ; drone; autonomous navigation; kollisionsprognos; mmWave radar; djupinlärning; variational autoencoder VAE ; drönare; autonom navigation;

    Abstract : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. READ MORE

  5. 5. Low-energy radar for handheld IR-cameras : Using mmWave radar as a complement for Multi Spectral Dynamic Imaging in handheld cameras

    University essay from Umeå universitet/Institutionen för fysik

    Author : Sarwin Abdullah; [2023]
    Keywords : ;

    Abstract : The aim of this project is to assess whether a low energy radar, more specifically the mmWave radar from Acconer could be used as a complement to the handheld cameras from FLIR, in order to improve its performance, in particular the alignment of visual and infra-red image. The specific camera used for this project is a FLIR C5 IR-camera. READ MORE