Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

SDR-Implemented Passive Bistatic SAR System Using Sentinel-1 Signal and Its Experiment Results

Domaine:

geospatial

Type de record:

papersoftware
Créateur:
FenFriWan
Éditeur:
AirFra
Éditeur:
CCSDMDPI
Hôte:avatar
International audience

Afixed-receiver mobile-transmitter passive bistatic syntheticaperture radar (MF-PB-SAR) system, which uses the Sentinel-1 SARsatellite as its non-cooperative emitting source, has beendeveloped by using embedded software-defined radio (SDR) hardwarefor high-resolution imaging of the targets in a local area in thisstudy. Firstly, Sentinel-1 and the designed system are introduced.Then, signal model, signal pre-processing methods, and effectivetarget imaging methods are presented. At last, various experimentresults of target imaging obtained at different locations are shownto validate the developed system and the proposed methods. It wasfound that targets in a range of several kilometers can be wellimaged. https://www.mdpi.com/2072-4…

Visit

hal.science

Languages

Sar

Tags

[SPI.OTHER]Engineering Sciences [physics]/Other

Similaires

Beledweyne Flood Frequency Mapping (FFM) from Sentinel-1 SARUrban Flood Mapping using Sentinel-1 SAR Data and Machine Learning: A Case of Maiduguri, NigeriaAutomatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learningRegional-scale ground monitoring of 80 East African Rift volcanoes using Sentinel-1 SAR interferometrySENTINEL-1 SAR FOR OPERATIONAL MONITORING OF SOUTHERN AFRICA OCEANSDelineation of Cocoa Agroforests Using Multi-Season Sentinel-1 SAR Images versus RapidEye multi-spectral image

Beledweyne Flood Frequency Mapping (FFM) from Sentinel-1 SAR

Initial public release of the Beledweyne flood frequency mapping (FFM) pipeline accompanyin

Urban Flood Mapping using Sentinel-1 SAR Data and Machine Learning: A Case of Maiduguri, Nigeria

Flooding is one of the most devastating hydrological hazards, resulting in significant huma

Automatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learning

Earthquake Triggered Landslides (ETLs) are serious secondary hazards of earthquakes, causing seve

Regional-scale ground monitoring of 80 East African Rift volcanoes using Sentinel-1 SAR interferometry

Countries with low to lower-middle income have limited resources to deploy and maintain ground monit

SENTINEL-1 SAR FOR OPERATIONAL MONITORING OF SOUTHERN AFRICA OCEANS

Abstract. The introduction of Synthetic Aperture Radar (SAR) through the Oceans and Coasts Monitorin

Delineation of Cocoa Agroforests Using Multi-Season Sentinel-1 SAR Images versus RapidEye multi-spectral image

This dataset was moved to: https://doi.org/10.34725/DVN/2OXNYMThe data is based on field inventory f