Onboard Radar Processing Framework for Maritime Surveillance with a High-Altitude Platform

This paper presents an overview of an onboard maritime surveillance radar processing framework for stratospheric high-altitude platforms (HAP). It is suited for DLR’s compact multichannel HAPSAR radar sensor envisioned as a payload for the DLR HAP. It enables ship detection and tracking with long observation times, high-resolution image sequence generation, and estimation of ship dimensions and moving direction. Furthermore, by leveraging parallel processing, the framework achieves onboard processing with reduced computational load, enhancing processing efficiency. Experimental radar data from DLR’s DBFSAR airborne radar system and the TerraSAR-X satellite validate the framework as a proof of concept.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-24
DOI
https://doi.org/10.5281/zenodo.17120115
Primary Topic
German History and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Onboard Radar Processing Framework for Maritime Surveillance with a High-Altitude Platform

Zenodo (CERN European Organization for Nuclear Research)
German History and Society
article

Onboard Radar Processing Framework for Maritime Surveillance with a High-Altitude Platform

article en

Abstract

This paper presents an overview of an onboard maritime surveillance radar processing framework for stratospheric high-altitude platforms (HAP). It is suited for DLR’s compact multichannel HAPSAR radar sensor envisioned as a payload for the DLR HAP. It enables ship detection and tracking with long observation times, high-resolution image sequence generation, and estimation of ship dimensions and moving direction. Furthermore, by leveraging parallel processing, the framework achieves onboard processing with reduced computational load, enhancing processing efficiency. Experimental radar data from DLR’s DBFSAR airborne radar system and the TerraSAR-X satellite validate the framework as a proof of concept.

Zenodo (CERN European Organization for Nuclear Research)
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Radar (United States) (US)
Openalex Percentile: Top 43%
German History and Society
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.