activity
20192023
most citedSearch and Rescue with Airborne Optical Sectioning

52 citations · 91 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2023

Synthetic Aperture Anomaly Imaging

Rakesh John Amala Arokia Nathan, Oliver Bimber

Previous research has shown that in the presence of foliage occlusion, anomaly detection performs significantly better in integral images resulting from synthetic aperture imaging…

cs.RO2022

Synthetic Aperture Sensing for Occlusion Removal with Drone Swarms

Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber

We demonstrate how efficient autonomous drone swarms can be in detecting and tracking occluded targets in densely forested areas, such as lost people during search and rescue missi…

cs.CV2022

Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensing

Francis Seits, Indrajit Kurmi, Oliver Bimber

In this article, we evaluate unsupervised anomaly detection methods in multispectral images obtained with a wavelength-independent synthetic aperture sensing technique, called Airb…

cs.CV2022

Inverse Airborne Optical Sectioning

Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber

We present Inverse Airborne Optical Sectioning (IAOS) an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occlud…

cs.CV2022★ 1 cited

On the Role of Field of View for Occlusion Removal with Airborne Optical Sectioning

Francis Seits, Indrajit Kurmi, Rakesh John Amala Arokia Nathan +2

Occlusion caused by vegetation is an essential problem for remote sensing applications in areas, such as search and rescue, wildfire detection, wildlife observation, surveillance,…

cs.CV2021

Through-Foliage Tracking with Airborne Optical Sectioning

Rakesh John Amala Arokia Nathan, Indrajit Kurmi, David C. Schedl +1

Detecting and tracking moving targets through foliage is difficult, and for many cases even impossible in regular aerial images and videos. We present an initial light-weight and d…

cs.CV2021

Combined Person Classification with Airborne Optical Sectioning

Indrajit Kurmi, David C. Schedl, Oliver Bimber

Fully autonomous drones have been demonstrated to find lost or injured persons under strongly occluding forest canopy. Airborne Optical Sectioning (AOS), a novel synthetic aperture…

cs.CV2021★ 3 cited

An Autonomous Drone for Search and Rescue in Forests using Airborne Optical Sectioning

D. C. Schedl, I. Kurmi, O. Bimber

Drones will play an essential role in human-machine teaming in future search and rescue (SAR) missions. We present a first prototype that finds people fully autonomously in densely…

cs.CV2020

Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization

Indrajit Kurmi, David C. Schedl, Oliver Bimber

Airborne optical sectioning, an effective aerial synthetic aperture imaging technique for revealing artifacts occluded by forests, requires precise measurements of drone poses. In…

cs.LG2020★ 52 cited

Search and Rescue with Airborne Optical Sectioning

David C. Schedl, Indrajit Kurmi, Oliver Bimber

We show that automated person detection under occlusion conditions can be significantly improved by combining multi-perspective images before classification. Here, we employed imag…

cs.CV2020★ 13 cited

Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization

Indrajit Kurmi, David C. Schedl, Oliver Bimber

In this article, we describe and validate the first fully automatic parameter optimization for thermal synthetic aperture visualization. It replaces previous manual exploration of…

cs.GR2019★ 22 cited

A Statistical View on Synthetic Aperture Imaging for Occlusion Removal

Indrajit Kurmi, David C. Schedl, Oliver Bimber

Synthetic apertures find applications in many fields, such as radar, radio telescopes, microscopy, sonar, ultrasound, LiDAR, and optical imaging. They approximate the signal of a s…