SAR time-series for under canopy detection

This paper reviews the techniques developed at SONDRA to detect targets under the canopy. It starts with a single SAR image with the plate detector and continues with the recent use of the SAR series. Different approaches are described for the latter, whether using azimuthal diversity or variation in the time series at a pixel level. We illustrated two methods using a short time series of SAR airborne images acquired by ONERA and applied to car detection within tropical forests.

Authors

Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/radar58436.2024.10994158
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SAR time-series for under canopy detection

Régis Guinvarc’h, Laetitia Thirion
Synthetic Aperture Radar (SAR) Applications and Techniques
article

SAR time-series for under canopy detection

Régis Guinvarc’h, Laetitia Thirion
article en

Abstract

This paper reviews the techniques developed at SONDRA to detect targets under the canopy. It starts with a single SAR image with the plate detector and continues with the recent use of the SAR series. Different approaches are described for the latter, whether using azimuthal diversity or variation in the time series at a pixel level. We illustrated two methods using a short time series of SAR airborne images acquired by ONERA and applied to car detection within tropical forests.

Climate action
Openalex Percentile: Top 51%
Synthetic Aperture Radar (SAR) Applications and Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SAR time-series for under canopy detection — Régis Guinvarc’h, Laetitia Thirion · (2024) | TGRS Research Map | TGRS